Triple
T19955792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Croatia at the Youth Olympic Games |
E479677
|
entity |
| Predicate | firstWinterYouthOlympicAppearanceYear |
P67609
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Croatia at the Youth Olympic Games, firstWinterYouthOlympicAppearanceYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinterYouthOlympicAppearanceYear Context triple: [Croatia at the Youth Olympic Games, firstWinterYouthOlympicAppearanceYear, 2012]
-
A.
youthOlympicDebutYear
chosen
Indicates the year in which an entity first participated in or was introduced to the Youth Olympic Games.
-
B.
winterYouthOlympicGamesEdition
Indicates that one entity is a specific edition or instance of the Winter Youth Olympic Games associated with another entity.
-
C.
firstWinterAppearance
Indicates that the subject entity makes its first observed or recorded appearance during the winter season.
-
D.
recognizedAsFirstWinterGames
Indicates that an event or competition is acknowledged or designated as the first edition of the Winter Games.
-
E.
firstWinterGamesAfter
Indicates that one Winter Games event occurs chronologically immediately after another specified Winter Games event.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aefd9488190b8cdfa8543db8d31 |
completed | April 20, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.