Triple
T31127873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romania at the Winter Olympics |
E793408
|
entity |
| Predicate | hasWonMedalInSport |
P166272
|
FINISHED |
| Object | bobsleigh |
—
|
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: bobsleigh | Statement: [Romania at the Winter Olympics, hasWonMedalInSport, bobsleigh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWonMedalInSport Context triple: [Romania at the Winter Olympics, hasWonMedalInSport, bobsleigh]
-
A.
wonMedalAt
Indicates that an entity received a medal as a result of participating in a specific event or competition.
-
B.
hasWonOlympicMedals
Indicates that the subject has earned one or more medals in Olympic Games competitions.
-
C.
hasMedalEvents
Indicates that an entity has associated events in which medals are or can be awarded.
-
D.
isOlympicMedalistIn
chosen
Indicates that an individual has won at least one Olympic medal in a specified sport or event.
-
E.
notableMedalSport
Indicates that the sport specified is the one in which the entity received a notable medal or award.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: April 29, 2026, 9:05 p.m.