Triple
T28996402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Chess Championship 1972 |
E736175
|
entity |
| Predicate | BorisSpasskyNationality |
P78054
|
FINISHED |
| Object | Soviet Union |
—
|
NE NERFINISHED |
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: Soviet Union | Statement: [World Chess Championship 1972, BorisSpasskyNationality, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BorisSpasskyNationality Context triple: [World Chess Championship 1972, BorisSpasskyNationality, Soviet Union]
-
A.
opponentNationality
Indicates that the related entity is the country or nationality of the opponent in a competitive or adversarial context.
-
B.
RussianChampionshipWinner
Indicates that the subject is the winner of a Russian national championship in a specified field or competition.
-
C.
hasSovietLeaderParticipant
Indicates that a Soviet leader is a participant in the referenced event, action, or relationship.
-
D.
playsInNationalTeamAs
Indicates that an individual is a member of a national team and participates in it in a specific playing position or role.
-
E.
nationalityOfPersonReferredTo
chosen
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65fb6ef4881909a758c3538fdec03 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 9:31 a.m.