Triple
T21630269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ravshan Irmatov |
E533810
|
entity |
| Predicate | numberOfWorldCupMatchesOfficiated |
P145303
|
FINISHED |
| Object | 11 |
—
|
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: 11 | Statement: [Ravshan Irmatov, numberOfWorldCupMatchesOfficiated, 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorldCupMatchesOfficiated Context triple: [Ravshan Irmatov, numberOfWorldCupMatchesOfficiated, 11]
-
A.
qualificationMatchesPlayed
Indicates that the number of qualification matches associated with an entity has been played or completed.
-
B.
hasOfficiatedInternationalGames
Indicates that an individual has served as an official (e.g., referee, umpire, judge) in one or more international-level games or matches.
-
C.
worldCupPlayed
Indicates that a World Cup tournament has taken place or been held (typically at a specific time and/or location).
-
D.
fifaWorldCupMatchesHosted
Indicates that an entity (typically a country, city, or stadium) has hosted one or more official FIFA World Cup matches.
-
E.
worldCupFinalAppearances
Indicates the number of times an entity has participated in a FIFA World Cup final match.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef521679fc81909c94d42439fda4ba |
completed | April 27, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69e69677b9c48190bf81f795aa8ad74e |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69cb4bcbc8190a4fc2d508df107be |
completed | April 20, 2026, 9:37 p.m. |
Created at: April 16, 2026, 6:34 p.m.