Triple
T2401472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rugby World Cup |
E47779
|
entity |
| Predicate | numberOfTeamsInFinalsTournament |
P6986
|
FINISHED |
| Object | 20 |
—
|
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: 20 | Statement: [Rugby World Cup, numberOfTeamsInFinalsTournament, 20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTeamsInFinalsTournament Context triple: [Rugby World Cup, numberOfTeamsInFinalsTournament, 20]
-
A.
numberOfGamesInFinals
Indicates the total count of games played in the finals stage of a competition or series.
-
B.
hasNumberOfTeams
chosen
Indicates the quantity of teams associated with or contained by a given entity.
-
C.
finalTournamentParticipants
Indicates that the specified entities are the participants who qualified for and compete in the final round of a tournament.
-
D.
numberOfPlayoffTeams
Indicates the total count of teams that qualify for or participate in the playoffs within a given league or season.
-
E.
finalTeam
Indicates that an entity is the ultimate or concluding team associated with another entity or process.
- 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_69a88a1c450c81909f61abb8b6863885 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc8caf12c8190b1482b9bc7bf9606 |
completed | March 7, 2026, 6:42 a.m. |
| PD | Predicate disambiguation | batch_69abc5a3825c81909ec6111dfc165453 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:57 p.m.