Triple
T2206021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clark Kerr Campus |
E50798
|
entity |
| Predicate | formerInstanceOf |
P23899
|
FINISHED |
| Object | school for the deaf |
—
|
LITERAL FINISHED |
How this triple was built (2 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: school for the deaf | Statement: [Clark Kerr Campus, formerInstanceOf, school for the deaf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerInstanceOf Context triple: [Clark Kerr Campus, formerInstanceOf, school for the deaf]
-
A.
instanceOf
relation of type constraints
-
B.
previousInstanceOf
chosen
Indicates that one entity is an earlier occurrence or version of another entity in a sequence or history.
-
C.
laterInstanceOf
Indicates that one entity is a subsequent or later-occurring instance of the same type or pattern as another entity.
-
D.
isClassOf
Indicates that one entity is a class or category to which another entity belongs or is an instance of.
-
E.
isModelOf
Indicates that one entity serves as a representation or abstraction that captures the structure or behavior of another entity.
- F. None of above.
Provenance (3 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.