Triple
T29726407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italy at the Youth Olympic Games |
E752189
|
entity |
| Predicate | winterEditionsParticipated |
P167238
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Italy at the Youth Olympic Games, winterEditionsParticipated, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winterEditionsParticipated Context triple: [Italy at the Youth Olympic Games, winterEditionsParticipated, true]
-
A.
isAnnualEditionOf
Indicates that one entity is a specific yearly edition or version of another, typically recurring publication or event.
-
B.
seasonOrEdition
Indicates that one entity is a particular season or edition of another, such as a specific installment within a series or recurring event.
-
C.
firstWinterEdition
Indicates that the subject entity is the first instance of something to occur in a winter edition or winter season context.
-
D.
editionWon
Indicates that a particular edition or instance of an event, competition, or award was won by a specified entity.
-
E.
winterYouthOlympicGamesEdition
Indicates that one entity is a specific edition or instance of the Winter Youth Olympic Games associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672ffccac819096b8f4c43a32b52d |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691e55cc81908d2d5c8ca4dea042 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 7:39 p.m.