Triple
T6520958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metallurg Magnitogorsk |
E151178
|
entity |
| Predicate | hasWonInternationalTrophies |
P67896
|
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: [Metallurg Magnitogorsk, hasWonInternationalTrophies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonInternationalTrophies Context triple: [Metallurg Magnitogorsk, hasWonInternationalTrophies, true]
-
A.
hasInternationalAchievements
chosen
Indicates that an entity has attained notable accomplishments or recognition at an international level.
-
B.
hadInternationalClubCompetition
Indicates that an entity has participated in or been involved with an international club-level competition.
-
C.
IntercontinentalCupTitles
Indicates the number of Intercontinental Cup championships an entity (typically a sports team or club) has won.
-
D.
hasChampionships
Indicates that one entity possesses or has won one or more championships associated with another entity.
-
E.
WorldCupMedal
Indicates that an entity has received a medal (e.g., gold, silver, bronze) for its performance in a FIFA World Cup tournament.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ad9431f081909b14b3df3414a55f |
completed | March 27, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69c68abbc7148190a8270d47fe10cc31 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:45 p.m.