Triple
T7677402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Core State Standards for English Language Arts |
E173895
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object |
College and Career Readiness Anchor Standards for Language
The College and Career Readiness Anchor Standards for Language are broad, cross-grade benchmarks that define the essential language skills and conventions students should master to be prepared for postsecondary education and the workforce.
|
E173895
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: College and Career Readiness Anchor Standards for Language | Statement: [Common Core State Standards for English Language Arts, includes, College and Career Readiness Anchor Standards for Language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: College and Career Readiness Anchor Standards for Language Context triple: [Common Core State Standards for English Language Arts, includes, College and Career Readiness Anchor Standards for Language]
-
A.
Common Core State Standards for English Language Arts
The Common Core State Standards for English Language Arts are a set of nationally developed academic benchmarks that define what K–12 students should know and be able to do in reading, writing, speaking, listening, and language to be prepared for college and careers.
-
B.
MCCSSS
MCCSSS is the U.S. Marine Corps’ primary training command for logistics and combat service support specialties.
-
C.
English Language Arts
English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
-
D.
Guide to Standard American English
Guide to Standard American English is a reference work on the rules, usage, and conventions of standard American English, authored by linguist Norbert Hornstein.
-
E.
Maryland College and Career-Ready Standards
The Maryland College and Career-Ready Standards are the state’s K–12 academic benchmarks, aligned with Common Core, that define the knowledge and skills students should master to be prepared for college and the workforce.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: College and Career Readiness Anchor Standards for Language Triple: [Common Core State Standards for English Language Arts, includes, College and Career Readiness Anchor Standards for Language]
Generated description
The College and Career Readiness Anchor Standards for Language are broad, cross-grade benchmarks that define the essential language skills and conventions students should master to be prepared for postsecondary education and the workforce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: College and Career Readiness Anchor Standards for Language Target entity description: The College and Career Readiness Anchor Standards for Language are broad, cross-grade benchmarks that define the essential language skills and conventions students should master to be prepared for postsecondary education and the workforce.
-
A.
Common Core State Standards for English Language Arts
chosen
The Common Core State Standards for English Language Arts are a set of nationally developed academic benchmarks that define what K–12 students should know and be able to do in reading, writing, speaking, listening, and language to be prepared for college and careers.
-
B.
MCCSSS
MCCSSS is the U.S. Marine Corps’ primary training command for logistics and combat service support specialties.
-
C.
English Language Arts
English Language Arts is an academic subject area focused on developing students’ skills in reading, writing, speaking, listening, and language analysis in English.
-
D.
Guide to Standard American English
Guide to Standard American English is a reference work on the rules, usage, and conventions of standard American English, authored by linguist Norbert Hornstein.
-
E.
Maryland College and Career-Ready Standards
The Maryland College and Career-Ready Standards are the state’s K–12 academic benchmarks, aligned with Common Core, that define the knowledge and skills students should master to be prepared for college and the workforce.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fbb4788190adf1e2d39be358c1 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
| NEDg | Description generation | batch_69c8af2fdd048190ad54dc9a4396d171 |
completed | March 29, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8afe14810819094a236fb8f96e562 |
completed | March 29, 2026, 4:51 a.m. |
Created at: March 27, 2026, 4:01 p.m.