Triple
T32435764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aki basho |
E828859
|
entity |
| Predicate | numberOfBoutsPerDayTopDivision |
P169507
|
FINISHED |
| Object | around 21 |
—
|
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: around 21 | Statement: [Aki basho, numberOfBoutsPerDayTopDivision, around 21]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBoutsPerDayTopDivision Context triple: [Aki basho, numberOfBoutsPerDayTopDivision, around 21]
-
A.
numberOfBouts
chosen
Indicates the count of distinct bouts or separate occurrences of a repeated action or event associated with an entity.
-
B.
numberOfTournamentFights
Indicates the total count of fights that occurred within a specific tournament.
-
C.
typicalRoundsForTitleBouts
Indicates the usual or standard number of rounds scheduled for championship (title) fights.
-
D.
numberOfDivisionsInConference
Indicates the total count of divisions that exist within a given conference.
-
E.
typicalNumberOfTopDivisionTeams
Indicates the usual or standard number of teams that compete in the highest-level division of a league or competition.
- 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_69f3491bf298819097b610f772d54a6d |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
Created at: May 1, 2026, 12:55 a.m.