Triple
T1826951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 FIFA World Cup matches |
E40673
|
entity |
| Predicate | firstWorldCupWithVAR |
P34255
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [2018 FIFA World Cup matches, firstWorldCupWithVAR, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWorldCupWithVAR Context triple: [2018 FIFA World Cup matches, firstWorldCupWithVAR, true]
-
A.
worldCupFinalScore
Indicates the final score outcome of a FIFA World Cup match, typically specifying the number of goals each team scored by the end of the final game.
-
B.
isFirstWorldCupHeldIn
Indicates that a country's first participation in the FIFA World Cup took place in the specified host nation or location.
-
C.
bestWorldCupResult
Indicates the most successful performance or highest achievement an entity has attained in any FIFA World Cup tournament.
-
D.
worldCupTitle
Indicates that an entity has won a FIFA World Cup championship title.
-
E.
bestWorldCupResultYear
Indicates the year in which an entity achieved its best (highest) result in a World Cup tournament.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb45402688190b9a535b14030c354 |
completed | March 7, 2026, 5:15 a.m. |
| PD | Predicate disambiguation | batch_69abafd6a9948190ac2b2743db6f8f69 |
completed | March 7, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69abb4517f9c8190a5d9bc965a4f29c9 |
completed | March 7, 2026, 5:14 a.m. |
Created at: March 4, 2026, 7:32 p.m.