Triple
T13801456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National League (ice hockey, Switzerland) |
E331649
|
entity |
| Predicate | typicalRegularSeasonGamesPerTeam |
P7554
|
FINISHED |
| Object | 52 |
—
|
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: 52 | Statement: [National League (ice hockey, Switzerland), typicalRegularSeasonGamesPerTeam, 52]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRegularSeasonGamesPerTeam Context triple: [National League (ice hockey, Switzerland), typicalRegularSeasonGamesPerTeam, 52]
-
A.
regularSeasonGamesPerTeam
chosen
Indicates the number of games each team plays during the regular season.
-
B.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
C.
awayGamesPerTeam
Indicates the number of games a team plays as the visiting (away) side.
-
D.
numberOfRoundRobinGamesPerTeam
Indicates the number of games each team plays in a round-robin competition format.
-
E.
regularSeasonGamesPlayed
Indicates the number of games an entity participated in during the regular season of a competition or league.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ded6c8190851c108ae559a355 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:11 p.m.