Triple
T6148976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chivas USA |
E137148
|
entity |
| Predicate | bestRegularSeason |
P16717
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [Chivas USA, bestRegularSeason, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestRegularSeason Context triple: [Chivas USA, bestRegularSeason, 2007]
-
A.
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.
-
B.
bestRegularSeasonWins
Indicates the number of wins a team achieved in its most successful regular season.
-
C.
bestRegularSeasonRecordYear
chosen
Indicates the year in which an entity achieved its best regular-season record compared to all its other seasons.
-
D.
runnerUpRegularSeasonRecord
Indicates the regular season performance record (such as wins and losses) of the team that finished as runner-up.
-
E.
bestSeasonRecord
Indicates that one entity holds the best (most successful) season performance record among a set of entities, typically in a competitive or statistical context.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05ce21820819096be9159d6b70a5f |
completed | March 22, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69c055f39e0881909ae56444b1b48929 |
completed | March 22, 2026, 8:49 p.m. |
Created at: March 22, 2026, 4:16 p.m.