Triple
T16261845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-1 World Grand Prix |
E394772
|
entity |
| Predicate | numberOfFightersInFinalTournament |
P122414
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [K-1 World Grand Prix, numberOfFightersInFinalTournament, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFightersInFinalTournament Context triple: [K-1 World Grand Prix, numberOfFightersInFinalTournament, 8]
-
A.
numberOfFinalTournamentTeams
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
finalTournamentParticipants
Indicates that the specified entities are the participants who qualified for and compete in the final round of a tournament.
-
C.
numberOfKnockouts
Indicates the total count of times an entity has defeated opponents by knockout.
-
D.
capacityAfterTournament
Indicates the resulting capacity of something after a tournament has taken place or been completed.
-
E.
finalTournamentSlotsVariesByEdition
Indicates that the number or allocation of final tournament slots changes depending on the specific edition of the competition.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c4a0b08190af3574f087205afc |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:04 a.m.