Triple
T28984663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1977–78 Biathlon World Cup |
E734644
|
entity |
| Predicate | overallTitleAwarded |
P166087
|
FINISHED |
| Object | Overall World Cup |
—
|
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: Overall World Cup | Statement: [1977–78 Biathlon World Cup, overallTitleAwarded, Overall World Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: overallTitleAwarded Context triple: [1977–78 Biathlon World Cup, overallTitleAwarded, Overall World Cup]
-
A.
awardsTitle
Indicates that an entity confers or grants a specific title or honorific designation to another entity.
-
B.
hasTitleHolderAward
Indicates that an entity holds or has been granted a specific title-related award.
-
C.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
D.
mainAwardWinner
Indicates that the subject is the primary recipient of a specified award or honor.
-
E.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
- 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_69f05b0dd9b481908b7901e1c95ff6b2 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65f78c4d08190b68ee2b2fed19fff |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 9:13 a.m.