Triple
T17763539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 Winter Youth Olympics |
E443442
|
entity |
| Predicate | athleteAgeCategory |
P109052
|
FINISHED |
| Object | youth |
—
|
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: youth | Statement: [2020 Winter Youth Olympics, athleteAgeCategory, youth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athleteAgeCategory Context triple: [2020 Winter Youth Olympics, athleteAgeCategory, youth]
-
A.
raceTypeByAge
Indicates that the type or category of a race is determined or classified based on the ages of its participants.
-
B.
hasJuniorAgeCategory
chosen
Indicates that an entity is associated with, or classified under, a junior age category within a given context or system.
-
C.
foundedAsAgeCategory
Indicates that an organization, group, or entity was originally established specifically to serve or represent a particular age category.
-
D.
ageInPlay
Indicates that an entity’s age is relevant or applicable within the context of a particular play, game, or interactive scenario.
-
E.
ageOfSkater
Indicates the numerical age associated with a given skater.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485f9fa188190aef5ffeb0b628632 |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.