Triple
T6634182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MHL |
E150403
|
entity |
| Predicate | playsSeasonSport |
P71856
|
FINISHED |
| Object | ice hockey |
—
|
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: ice hockey | Statement: [MHL, playsSeasonSport, ice hockey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playsSeasonSport Context triple: [MHL, playsSeasonSport, ice hockey]
-
A.
playsSeasonSeries
Indicates that an entity participates as a competitor or team in a particular season of a series or league.
-
B.
playedSeasonType
Indicates that an entity participated in or was involved with a particular type of season (e.g., regular season, playoffs, preseason) within a competition or schedule.
-
C.
competitionSeason
Indicates that an entity is associated with a particular competitive season or edition of a competition.
-
D.
trainingSeason
Indicates the specific season or time period during which training activities or programs take place.
-
E.
ProBowlSeason
Indicates that a player was selected to participate in the Pro Bowl during a specific 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c30733908190980f7ffaa5c5527b |
completed | March 27, 2026, 5:48 p.m. |
Created at: March 27, 2026, 1:59 p.m.