Triple
T5865693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arizona–Arizona State football rivalry |
E130386
|
entity |
| Predicate | trophyRecognizedByNCAAAsOldest |
P33366
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Arizona–Arizona State football rivalry, trophyRecognizedByNCAAAsOldest, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyRecognizedByNCAAAsOldest Context triple: [Arizona–Arizona State football rivalry, trophyRecognizedByNCAAAsOldest, true]
-
A.
oldestCollegeOf
Indicates that one entity is the oldest college associated with, or within, another entity (such as a university or region).
-
B.
isOneOfOldestConferencesIn
Indicates that a conference ranks among the oldest conferences within a specified location or domain.
-
C.
NCAARecognition
chosen
Indicates that an entity is officially acknowledged, sanctioned, or certified by the NCAA in a particular capacity or context.
-
D.
isOldestCollegeLibraryOf
Indicates that one entity is the oldest existing college library associated with the other entity.
-
E.
NCAAChampionshipCount
Indicates the number of NCAA championships an entity has won.
- 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_69c0085047dc8190af24e311edad3c07 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ffaef081909faaa7f420a3b9b7 |
completed | March 22, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69c03347e51c81909053bcf34e3b88ab |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:56 p.m.