Triple
T5865905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1947 BAA Finals |
E130390
|
entity |
| Predicate | titleNumberForChampion |
P7922
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [1947 BAA Finals, titleNumberForChampion, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleNumberForChampion Context triple: [1947 BAA Finals, titleNumberForChampion, 1]
-
A.
championCityTitleNumber
Indicates the ordinal number of championship titles that a particular city has won or holds in a given competition or league.
-
B.
titleNumber
chosen
Indicates the numerical designation or sequence number assigned to a title within an ordered set of titles.
-
C.
championManager
Indicates that one entity serves as the manager, coach, or primary overseer responsible for the success or performance of a champion entity.
-
D.
firstChampion
Indicates that one entity is the earliest or original champion or title-holder in relation to another entity.
-
E.
championshipNumberForFranchise
Indicates the number of championships that have been won by a given franchise.
- 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.