Triple
T3507029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977 NBA Finals |
E74099
|
entity |
| Predicate | titleNumberForChampionFranchise |
P32585
|
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: [1977 NBA Finals, titleNumberForChampionFranchise, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleNumberForChampionFranchise Context triple: [1977 NBA Finals, titleNumberForChampionFranchise, 1]
-
A.
championshipNumberForFranchise
chosen
Indicates the number of championships that have been won by a given franchise.
-
B.
leagueChampionFranchisePennantCount
Indicates the number of league championship pennants won by a given franchise.
-
C.
pennantNumberForFranchise
Indicates the specific pennant (league championship) number associated with a particular sports franchise.
-
D.
franchiseEntryNumber
Indicates the ordinal position or sequence number of an entry within a franchise series.
-
E.
championManager
Indicates that one entity serves as the manager, coach, or primary overseer responsible for the success or performance of a champion entity.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf52bd8819085a2ac5f48cc5c68 |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0e770481908528fa35eda53003 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.