Triple
T3832911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis USD 388 |
E91055
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
USD 388
USD 388 is a public school district serving the Ellis, Kansas area, providing K–12 education to local students.
|
E393910
|
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: USD 388 | Statement: [Ellis USD 388, abbreviation, USD 388]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USD 388 Context triple: [Ellis USD 388, abbreviation, USD 388]
-
A.
USD 320
USD 320 is a public school district serving the Wamego, Kansas area, providing K–12 education to local students.
-
B.
USD
USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
-
C.
USD
USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
-
D.
Doller
The Doller is a river in northeastern France that flows through the Alsace region and joins the Ill near Mulhouse.
-
E.
EC dollar
The EC dollar is the official currency used by several member states and territories of the Organisation of Eastern Caribbean States, managed by the Eastern Caribbean Central Bank.
- 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: USD 388 Triple: [Ellis USD 388, abbreviation, USD 388]
Generated description
USD 388 is a public school district serving the Ellis, Kansas area, providing K–12 education to local students.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USD 388 Target entity description: USD 388 is a public school district serving the Ellis, Kansas area, providing K–12 education to local students.
-
A.
USD 320
USD 320 is a public school district serving the Wamego, Kansas area, providing K–12 education to local students.
-
B.
USD
USD (Universal Scene Description) is an open-source 3D scene description and interchange framework developed by Pixar, widely used for creating, composing, and collaborating on complex virtual worlds and assets.
-
C.
USD
USD is a public research university located in Vermillion, South Dakota, known for its programs in law, medicine, and business.
-
D.
Doller
The Doller is a river in northeastern France that flows through the Alsace region and joins the Ill near Mulhouse.
-
E.
EC dollar
The EC dollar is the official currency used by several member states and territories of the Organisation of Eastern Caribbean States, managed by the Eastern Caribbean Central Bank.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb88b8a8819082d4bdbc5bc45366 |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503ffab6c81909d64a11511693c1f |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b507be443c8190ad7542f7b897de50 |
completed | March 14, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5092c2460819087188184be28290b |
completed | March 14, 2026, 7:07 a.m. |
Created at: March 9, 2026, 3:17 p.m.