Triple
T37081127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2010 American League Championship Series |
E918147
|
entity |
| Predicate | winnerPennantNumber |
P192101
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [2010 American League Championship Series, winnerPennantNumber, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winnerPennantNumber Context triple: [2010 American League Championship Series, winnerPennantNumber, 1]
-
A.
leaguePennantWon
Indicates that a team has won the championship pennant of a particular sports league.
-
B.
wonPennantIn
Indicates that a team secured the league pennant in a specified season or year.
-
C.
nextPennantWinner
Indicates that one entity is the team expected or designated to win the next pennant (championship) following the other entity.
-
D.
nextNationalLeaguePennant
Indicates that the subject team is the next team to win the National League pennant (championship) in Major League Baseball.
-
E.
determinedPennantWinnerFor
Indicates that one entity has been determined as the pennant-winning team for a particular league, season, or competition.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69fcf36bb86c8190a0a0ccf47cb56e5c |
completed | May 7, 2026, 8:17 p.m. |
Created at: May 3, 2026, 4:14 p.m.