Triple
T19840735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001–02 Sacramento Kings season |
E476718
|
entity |
| Predicate | conferenceFinalsGamesWon |
P137540
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [2001–02 Sacramento Kings season, conferenceFinalsGamesWon, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceFinalsGamesWon Context triple: [2001–02 Sacramento Kings season, conferenceFinalsGamesWon, 3]
-
A.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
B.
numberOfFinalMatches
Indicates the total count of final-stage matches associated with a given entity or event.
-
C.
playedInFinals
Indicates that an entity participated as a competitor or player in the final round of a competition or tournament.
-
D.
playsChampionshipGame
Indicates that an entity participates as a competitor in a championship-level game or match.
-
E.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
- 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6580576748190b85e234b01209ae7 |
completed | April 20, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69e537e21d2881909b1be82f02b99d40 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c136b081909cab9394b958390a |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:51 p.m.