Triple
T32486398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XI Olympic Winter Games |
E830253
|
entity |
| Predicate | firstWinterOlympicsInContinent |
P206294
|
FINISHED |
| Object | Asia |
E2127
|
NE 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: Asia | Statement: [XI Olympic Winter Games, firstWinterOlympicsInContinent, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWinterOlympicsInContinent Context triple: [XI Olympic Winter Games, firstWinterOlympicsInContinent, Asia]
-
A.
firstOlympicsInContinent
Indicates that an edition of the Olympic Games was the first ever held on a given continent.
-
B.
firstWinterOlympicsParticipation
Indicates the first edition of the Winter Olympic Games in which a given entity (typically an athlete or nation) took part.
-
C.
recognizedAsFirstWinterGames
Indicates that an event or competition is acknowledged or designated as the first edition of the Winter Games.
-
D.
firstWinterGamesCountry
Indicates the country where the first Winter Games involving the referenced entity took place or were hosted.
-
E.
hostCountryFirstTimeWinterGames
Indicates that a country is hosting the Winter Games for the first time in its history.
- F. None of above. chosen
Provenance (5 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_69f34920aa4081908d8fb0277414b911 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3470471bec8190a7794483614fefb6 |
completed | June 18, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_6a0379edf2d88190b492fca86ed23cac |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 12:58 a.m.