Triple
T23442003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Men's Handball Championship |
E565427
|
entity |
| Predicate | previousNumberOfTeamsFinalTournament |
P65054
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [European Men's Handball Championship, previousNumberOfTeamsFinalTournament, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousNumberOfTeamsFinalTournament Context triple: [European Men's Handball Championship, previousNumberOfTeamsFinalTournament, 16]
-
A.
numberOfFinalTournamentTeams
chosen
Indicates the total count of teams that participate in the final stage of a tournament.
-
B.
numberOfFinalFourTeams
Indicates the count of teams that reached the Final Four stage in a given tournament or competition.
-
C.
eliminatedTeamsCount
Indicates the number of teams that have been removed from contention or disqualified in a given context or competition.
-
D.
numberOfSemiFinals
Indicates the count of semi-final rounds or appearances associated with an entity in a given context.
-
E.
numberOfGroupsInPreliminaryRound
Indicates the total count of groups that participate in the preliminary round of a competition or event.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a644f6948190af07b3c4c32fc7ae |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:51 p.m.