Triple
T6644803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1973 World Series |
E150673
|
entity |
| Predicate | NLChampionRecord |
P11629
|
FINISHED |
| Object | New York Mets 82–79 |
—
|
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: New York Mets 82–79 | Statement: [1973 World Series, NLChampionRecord, New York Mets 82–79]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NLChampionRecord Context triple: [1973 World Series, NLChampionRecord, New York Mets 82–79]
-
A.
mostOverallWinsRecord
Indicates that the subject holds the record for having the greatest total number of wins compared to all others in the relevant context.
-
B.
championRegularSeasonRecord
chosen
Indicates that an entity is the champion associated with a particular regular season record.
-
C.
championRegularSeasonWins
Indicates that an entity is the champion based on having the highest number of regular season wins.
-
D.
recordWinners
Indicates that an entity documents or stores information about the winners of a particular event, contest, or competition.
-
E.
championshipWinRate
Indicates the proportion of championships won relative to the total number of championship opportunities or appearances.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9c6cb0819084fec8e0beb430de |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad04d66c8190926ffcbff372643b |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2 p.m.