Triple
T11308559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden State Warriors |
E267777
|
entity |
| Predicate | regularSeasonWinsRecord |
P14873
|
FINISHED |
| Object | 73 |
—
|
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: 73 | Statement: [Golden State Warriors, regularSeasonWinsRecord, 73]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regularSeasonWinsRecord Context triple: [Golden State Warriors, regularSeasonWinsRecord, 73]
-
A.
regularSeasonWins
chosen
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.
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.
-
E.
seasonWins
Indicates the number of games or competitions a team or individual has won during a specific season.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787aa31888190860eecaa80da5b20 |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.