Triple
T1842490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NHL regular season |
E41205
|
entity |
| Predicate | gameCountPerTeam |
P34063
|
FINISHED |
| Object | 82 games in modern era |
—
|
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: 82 games in modern era | Statement: [NHL regular season, gameCountPerTeam, 82 games in modern era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameCountPerTeam Context triple: [NHL regular season, gameCountPerTeam, 82 games in modern era]
-
A.
teamCountType
Indicates how the number of teams is categorized or measured within a given context.
-
B.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
C.
hasNumberOfTeams
Indicates the quantity of teams associated with or contained by a given entity.
-
D.
divisionGamesPerSeasonBetweenTeams
Indicates the number of games played per season between two teams within the same division.
-
E.
gamesPlayed
Indicates the number or set of games that an entity has participated in or completed.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb32d35508190bf1c487dffbecaf0 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafdb0d2c8190a67f584e67979fa3 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb32a8d548190a231c7c2ce276a5e |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:33 p.m.