Triple
T19956334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel at the Olympics |
E479692
|
entity |
| Predicate | firstOlympicGoldMedalistSport |
P92581
|
FINISHED |
| Object | windsurfing |
—
|
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: windsurfing | Statement: [Israel at the Olympics, firstOlympicGoldMedalistSport, windsurfing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOlympicGoldMedalistSport Context triple: [Israel at the Olympics, firstOlympicGoldMedalistSport, windsurfing]
-
A.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
B.
firstHeldAsOfficialMedalSport
chosen
Indicates the event or discipline at which a sport was first included as an official medal-awarding competition.
-
C.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
D.
introducedToOlympicsBy
Indicates that one entity was responsible for bringing or presenting another entity into the context of the Olympic Games for the first time.
-
E.
firstOlympicsInCountry
Indicates that the referenced Olympic Games were the first edition ever hosted in the specified country.
- 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_69e65af08e008190a3a1b807b638a99e |
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.