Triple
T28870758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette College |
E732134
|
entity |
| Predicate | academicRival |
P166004
|
FINISHED |
| Object | Lehigh University |
—
|
NE NERFINISHED |
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: Lehigh University | Statement: [Lafayette College, academicRival, Lehigh University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicRival Context triple: [Lafayette College, academicRival, Lehigh University]
-
A.
academicPost
Indicates that an entity holds or is associated with a formal academic position or appointment at an educational or research institution.
-
B.
academicBody
Indicates a formal organizational relationship in which an entity functions as an academic institution or governing academic unit associated with another entity.
-
C.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
D.
academicHead
Indicates that one entity serves as the chief academic leader or head of another entity, such as a department, program, or institution.
-
E.
academicType
Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
- F. None of above. chosen
Provenance (4 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 7:32 a.m.