Triple
T19840736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2001–02 Sacramento Kings season |
E476718
|
entity |
| Predicate | conferenceFinalsGamesLost |
P137541
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [2001–02 Sacramento Kings season, conferenceFinalsGamesLost, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conferenceFinalsGamesLost Context triple: [2001–02 Sacramento Kings season, conferenceFinalsGamesLost, 4]
-
A.
lostFinalsTo
Indicates that one competitor was defeated by another in the final round of a competition or tournament.
-
B.
mostGamesLostBy
Indicates that one entity holds the record for having lost the greatest number of games to another entity.
-
C.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
D.
gamesLostBy
Indicates the number of games that one entity has been defeated in by another entity.
-
E.
loserGamesWon
Indicates the number of games won by the losing participant in a match or contest.
- 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.