Triple
T11967758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden State Warriors |
E284831
|
entity |
| Predicate | regularSeasonWinsRecordNote |
P102556
|
FINISHED |
| Object | most wins in a single NBA regular season |
—
|
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: most wins in a single NBA regular season | Statement: [Golden State Warriors, regularSeasonWinsRecordNote, most wins in a single NBA regular season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularSeasonWinsRecordNote Context triple: [Golden State Warriors, regularSeasonWinsRecordNote, most wins in a single NBA regular season]
-
A.
regularSeasonWins
Indicates the number of games a team wins during the regular season of a competition.
-
B.
bestRegularSeasonWins
Indicates the number of wins a team achieved in its most successful regular season.
-
C.
seasonRecordWins
Indicates the number of games a team has won during a specific season.
-
D.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
-
E.
bestRegularSeasonRecord
Indicates that an entity (typically a team) achieved the highest overall performance record during the regular season compared to all others in the same competition.
- F. None of above. chosen
Provenance (4 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037adf5881908abe1a4e64a71f20 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.