Triple
T31698103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biathlon at the 2006 Winter Olympics |
E808972
|
entity |
| Predicate | componentSport |
P134853
|
FINISHED |
| Object | cross-country skiing |
—
|
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: cross-country skiing | Statement: [Biathlon at the 2006 Winter Olympics, componentSport, cross-country skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentSport Context triple: [Biathlon at the 2006 Winter Olympics, componentSport, cross-country skiing]
-
A.
tenantSport
Indicates that a tenant participates in or is associated with a particular sport.
-
B.
partOfSports
chosen
Indicates that one entity is a component, segment, or element within a larger sports-related activity, event, or organization.
-
C.
sportSection
Indicates that something belongs to, appears in, or is categorized under the sports section of a larger collection or publication.
-
D.
parentSport
Indicates that one sport is the broader or more general category from which another sport is derived or classified.
-
E.
includesSport
Indicates that one entity contains, offers, or features a particular sport as part of its activities, content, or composition.
- 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_69f348de914081909fc8edff56f34dbe |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 30, 2026, 11:11 p.m.