Triple
T28870756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lafayette College |
E732134
|
entity |
| Predicate | athleticRival |
P22658
|
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, athleticRival, Lehigh University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleticRival Context triple: [Lafayette College, athleticRival, Lehigh University]
-
A.
sportsRival
Indicates a competitive adversarial relationship between two sports teams, players, or organizations, typically characterized by recurring contests and heightened mutual opposition.
-
B.
rivalOf
chosen
Indicates a relationship in which two entities compete against or oppose each other, often seeking advantage in the same domain or objective.
-
C.
rivalryBasis
Indicates the underlying reason, cause, or grounds on which a rivalry between entities is based.
-
D.
associatedRivalry
Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
-
E.
hasRivalrySport
Indicates a competitive relationship in which two entities are rivals specifically within the context of a sport or sporting activity.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a46a2a881908b8d2dba7cfb108b |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:32 a.m.