Triple
T7732261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna, Texas |
E175287
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object |
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
|
E688573
|
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: Anna High School | Statement: [Anna, Texas, hasHighSchool, Anna High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna High School Context triple: [Anna, Texas, hasHighSchool, Anna High School]
-
A.
Andrew High School
Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
-
B.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
-
C.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
D.
Marcus High School
Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
-
E.
Washington High School
Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
- 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: Anna High School Triple: [Anna, Texas, hasHighSchool, Anna High School]
Generated description
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna High School Target entity description: Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
A.
Andrew High School
Andrew High School is a public secondary school in Tinley Park, Illinois, known for serving students in the southwest suburbs of Chicago.
-
B.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
-
C.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
D.
Marcus High School
Marcus High School is a public secondary school in the Lewisville Independent School District, serving students in the Flower Mound, Texas area.
-
E.
Washington High School
Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
- F. None of above. chosen
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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70336aafc819099a060950ab8922f |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8dea75df88190b0d1187e57dcfddb |
completed | March 29, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69c8df35b6908190866d315cffca8f30 |
completed | March 29, 2026, 8:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8e04222808190ad04746674f241aa |
completed | March 29, 2026, 8:18 a.m. |
Created at: March 27, 2026, 4:06 p.m.