Triple
T2324325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West |
E48251
|
entity |
| Predicate | playInTournamentSpots |
P10753
|
FINISHED |
| Object | seeds 7 through 10 (in play-in 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: seeds 7 through 10 (in play-in era) | Statement: [West, playInTournamentSpots, seeds 7 through 10 (in play-in era)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playInTournamentSpots Context triple: [West, playInTournamentSpots, seeds 7 through 10 (in play-in era)]
-
A.
playInTournamentIntroduced
Indicates that an entity participates as a player in a specific tournament that has been newly introduced or added.
-
B.
typicalConferenceLeagueSpots
Indicates the usual number of qualification spots a league provides for the UEFA Europa Conference League based on its standard allocation rules.
-
C.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
D.
playedInTournament
chosen
Indicates that an entity participated as a competitor or player in a specific tournament.
-
E.
otherTournament
Indicates a relationship where one tournament is distinct from and not the same as another tournament.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:50 p.m.