Triple
T17763544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2020 Winter Youth Olympics |
E443442
|
entity |
| Predicate | athletesCount |
P124154
|
FINISHED |
| Object | 1872 |
—
|
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: 1872 | Statement: [2020 Winter Youth Olympics, athletesCount, 1872]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: athletesCount Context triple: [2020 Winter Youth Olympics, athletesCount, 1872]
-
A.
athleteCount
chosen
Indicates the number of athletes associated with a given entity or context.
-
B.
typicalNumberOfAthletes
Indicates the usual or average number of athletes associated with or participating in a given context, event, or entity.
-
C.
expectedNumberOfAthletes
Indicates the anticipated or planned count of athletes expected to participate in a given context or event.
-
D.
numberOfMaleAthletes
Indicates the quantity of athletes in a given group or context who are male.
-
E.
athletesFrom
Indicates that one or more athletes originate from, represent, or are associated with a particular place or organization.
- 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.