Triple
T1875220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Division Series |
E39127
|
entity |
| Predicate | numberOfMatchups |
P12965
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [American League Division Series, numberOfMatchups, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMatchups Context triple: [American League Division Series, numberOfMatchups, 2]
-
A.
matchupFrequency
chosen
Indicates how often a particular pair or set of entities are matched or paired against each other within a given context or timeframe.
-
B.
numberOfGamesScheduled
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
C.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
-
D.
odiMatchesPlayed
Indicates the number of One Day International (ODI) cricket matches that have been played by or between the referenced entities.
-
E.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.