Triple
T24108303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Research Triangle |
E597288
|
entity |
| Predicate | hasCollegeSportsRivalry |
P74502
|
FINISHED |
| Object | Duke–UNC rivalry |
—
|
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: Duke–UNC rivalry | Statement: [Research Triangle, hasCollegeSportsRivalry, Duke–UNC rivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollegeSportsRivalry Context triple: [Research Triangle, hasCollegeSportsRivalry, Duke–UNC rivalry]
-
A.
hasRivalrySport
Indicates a competitive relationship in which two entities are rivals specifically within the context of a sport or sporting activity.
-
B.
conferenceRivalry
Indicates a competitive or adversarial relationship between entities that belong to the same conference or organized grouping.
-
C.
hasNationalRivalryContext
Indicates that there exists a relationship of competitive or adversarial national rivalry between the associated entities, providing the contextual backdrop for their interaction or comparison.
-
D.
associatedRivalry
chosen
Indicates a relationship where one entity is linked to another as its rival, competitor, or opposing counterpart.
-
E.
hasVarsityTeams
Indicates that an institution fields official varsity-level sports teams.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de19057c819096a8b3290d33e2f6 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:02 p.m.