Triple
T843308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmhurst University |
E18222
|
entity |
| Predicate | formerlyInstanceOf |
P16344
|
FINISHED |
| Object | college |
—
|
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: college | Statement: [Elmhurst University, formerlyInstanceOf, college]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerlyInstanceOf Context triple: [Elmhurst University, formerlyInstanceOf, college]
-
A.
laterInstanceOf
Indicates that one entity is a subsequent or later-occurring instance of the same type or pattern as another entity.
-
B.
inheritedFrom
Indicates that one entity has received or derived something (such as traits, rights, or property) from another entity, typically a predecessor or ancestor.
-
C.
formerType
chosen
Indicates that one entity previously had a certain type, role, or classification but no longer does.
-
D.
isAbstractVersionOf
Indicates that one entity represents a conceptual, generalized, or non-concrete version of another, more specific or concrete entity.
-
E.
instanceOf
relation of type constraints
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abe8a0bc81909b54af465e67be1f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7f396c8190aa8b8dfbe0b4f732 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.