Triple
T28996404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Chess Championship 1972 |
E736175
|
entity |
| Predicate | BorisSpasskyTitleBeforeMatch |
P166523
|
FINISHED |
| Object | World Chess Champion |
—
|
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: World Chess Champion | Statement: [World Chess Championship 1972, BorisSpasskyTitleBeforeMatch, World Chess Champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: BorisSpasskyTitleBeforeMatch Context triple: [World Chess Championship 1972, BorisSpasskyTitleBeforeMatch, World Chess Champion]
-
A.
BobbyFischerScore
Indicates the score or point outcome associated with Bobby Fischer in a given game, match, or event.
-
B.
RussianChampionshipWinner
Indicates that the subject is the winner of a Russian national championship in a specified field or competition.
-
C.
yearAwardedGrandmasterTitle
Indicates the specific year in which an entity was officially awarded the grandmaster title.
-
D.
wasOpponentOf
Indicates that one entity competed or conflicted against another as an adversary in some contest, game, or confrontation.
-
E.
hasPreviousBishop
Indicates that one bishop previously held the same episcopal position or office as another bishop.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 9:31 a.m.