Triple
T9601623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergei Bubka |
E231862
|
entity |
| Predicate | GoodwillGamesMedalist |
P9672
|
FINISHED |
| Object | Goodwill Games pole vault champion |
—
|
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: Goodwill Games pole vault champion | Statement: [Sergei Bubka, GoodwillGamesMedalist, Goodwill Games pole vault champion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GoodwillGamesMedalist Context triple: [Sergei Bubka, GoodwillGamesMedalist, Goodwill Games pole vault champion]
-
A.
isGameSpecificAward
Indicates that an award is specific to a particular game rather than being general or cross-game.
-
B.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
C.
trophyCustodian
Indicates that one entity is responsible for holding, safeguarding, or managing a trophy on behalf of another entity or organization.
-
D.
associatedAchievement
chosen
Indicates a relationship where one entity is linked to, or recognized in connection with, a particular achievement.
-
E.
qualificationBadge
Indicates that an entity has been awarded or holds a specific qualification badge signifying a certified skill, status, or achievement.
- 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_69ca8484838c8190b2049199d22fef70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a3a49608190ad1f65195e4d5cda |
completed | April 1, 2026, 10:20 p.m. |
| PD | Predicate disambiguation | batch_69ccd5a359788190b24f82399489f7fe |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:07 p.m.