Triple
T1050025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Cup |
E22672
|
entity |
| Predicate | tournamentsNotHeld |
P23590
|
FINISHED |
| Object | 1942 |
—
|
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: 1942 | Statement: [FIFA World Cup, tournamentsNotHeld, 1942]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentsNotHeld Context triple: [FIFA World Cup, tournamentsNotHeld, 1942]
-
A.
notableTournament
Indicates that an entity is a tournament of particular significance or prominence in relation to another entity.
-
B.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
-
C.
wonTournament
Indicates that an entity emerged as the overall victor in a tournament competition.
-
D.
conferenceTournamentTitles
Indicates the number of conference tournament championships an entity has won.
-
E.
firstHeldAsSeparateTournament
Indicates that an event was initially conducted as an independent, standalone tournament rather than as part of another 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8b2c6208190b6fdf3e93b1b1d04 |
completed | March 1, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69a4b7309cc481908ed839b0b8d75dbf |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7f2d1b081908eb2df54e91c8c1d |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:42 p.m.