Triple
T11065619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | League Division Series |
E261614
|
entity |
| Predicate | numberOfNLSeriesPerSeason |
P97604
|
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: [League Division Series, numberOfNLSeriesPerSeason, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfNLSeriesPerSeason Context triple: [League Division Series, numberOfNLSeriesPerSeason, 2]
-
A.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
B.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
C.
typicalSeasonSeriesLength
Indicates the usual number of episodes or installments that make up a single season of a series.
-
D.
downsPerSeries
Indicates the number of downs that occur within a single offensive series or possession.
-
E.
numberOfEpisodes
Indicates the total count of episodes associated with a given entity, such as a series or season.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7991f84488190a974d1744a62798d |
completed | April 9, 2026, 12:18 p.m. |
| PD | Predicate disambiguation | batch_69d74411d9e881908c0eeafa0f38e4b6 |
completed | April 9, 2026, 6:15 a.m. |
| PDg | Predicate description generation | batch_69d750c99f9881908ee2b01b6ce4b3a1 |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:26 p.m.