Triple
T2846320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altay S.K. |
E62991
|
entity |
| Predicate | isMultiSeasonParticipantOf |
P43377
|
FINISHED |
| Object | Turkish national leagues |
—
|
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: Turkish national leagues | Statement: [Altay S.K., isMultiSeasonParticipantOf, Turkish national leagues]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMultiSeasonParticipantOf Context triple: [Altay S.K., isMultiSeasonParticipantOf, Turkish national leagues]
-
A.
playsInSeason
Indicates that an entity participates or performs in a specific season of an ongoing series, competition, or event.
-
B.
playedInSeason
Indicates that an entity (such as a player or participant) took part in or was active during a specific season.
-
C.
numberOfSeasons
Indicates the total count of seasons associated with a particular entity (such as a series, competition, or event).
-
D.
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.
-
E.
seasonOfTitle
Indicates that one entity is a specific season or installment within the series or title represented by the other entity.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf3d00708190966a477fdd855f23 |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abde2cdcc48190827195d3ae70aa19 |
completed | March 7, 2026, 8:13 a.m. |
Created at: March 6, 2026, 10:02 p.m.