Triple
T30715270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jocelyne Larocque |
E782006
|
entity |
| Predicate | representedCountryAtEventType |
P1315
|
FINISHED |
| Object | Olympic Games |
—
|
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: Olympic Games | Statement: [Jocelyne Larocque, representedCountryAtEventType, Olympic Games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representedCountryAtEventType Context triple: [Jocelyne Larocque, representedCountryAtEventType, Olympic Games]
-
A.
countryOfParticipant
Indicates the country with which a given participant is associated or from which they originate in the context of an event or activity.
-
B.
refersToEventCountry
Indicates that one entity references or is associated with the country in which a particular event takes place.
-
C.
attendeeCountry
Indicates the country associated with an attendee, typically where the attendee comes from or is based.
-
D.
countryRepresented
chosen
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
E.
locatedInCountryDuringEvent
Indicates that an entity was situated within a specific country for the duration or at the time of a particular event.
- 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_69f224acd24481908ed5f96f0d69b5dd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: April 29, 2026, 8:35 p.m.