Triple
T17744256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emblem of the 2016 Winter Youth Olympics |
E442942
|
entity |
| Predicate | appliesToSportEventType |
P6316
|
FINISHED |
| Object | multi-sport event |
—
|
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: multi-sport event | Statement: [Emblem of the 2016 Winter Youth Olympics, appliesToSportEventType, multi-sport event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToSportEventType Context triple: [Emblem of the 2016 Winter Youth Olympics, appliesToSportEventType, multi-sport event]
-
A.
appliesToSports
Indicates that something is relevant, appropriate, or specifically intended for use in the context of sports.
-
B.
sportEventType
chosen
Indicates the specific kind or category of sport associated with a given sporting event.
-
C.
appliesToCompetition
Indicates that something (such as a rule, condition, or attribute) is relevant or applicable specifically to a competition.
-
D.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
-
E.
appearsAtEventType
Indicates that an entity is present or participates in an event of a specified type.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:09 a.m.