Triple
T19956331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel at the Olympics |
E479692
|
entity |
| Predicate | firstOlympicMedalistSport |
P138009
|
FINISHED |
| Object | judo |
—
|
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: judo | Statement: [Israel at the Olympics, firstOlympicMedalistSport, judo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOlympicMedalistSport Context triple: [Israel at the Olympics, firstOlympicMedalistSport, judo]
-
A.
firstHeldAsOfficialMedalSport
Indicates the event or discipline at which a sport was first included as an official medal-awarding competition.
-
B.
OlympicGoldMedalSport
Indicates that the subject sport is one in which the object athlete or team has won an Olympic gold medal.
-
C.
firstAppearedInOlympics
Indicates the event or entity in which something made its debut appearance at the Olympic Games.
-
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.
olympicDebut
Indicates the event or year in which an entity first participated in the Olympic Games.
- 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_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. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 1:54 p.m.