Triple
T34721455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq at the Winter Olympic Games |
E1000926
|
entity |
| Predicate | medalsBronze |
P53827
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Iraq at the Winter Olympic Games, medalsBronze, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: medalsBronze Context triple: [Iraq at the Winter Olympic Games, medalsBronze, 0]
-
A.
olympicBronzeMedals
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
B.
bronzeMedalist
Indicates that an entity finished third in a competition or event, earning the bronze medal.
-
C.
totalOlympicBronzeMedals
chosen
Indicates the total number of Olympic bronze medals that an entity has earned or been awarded.
-
D.
olympicBronzeEvent
Indicates that an entity won a bronze medal in a specified Olympic event.
-
E.
bronzeMedalistConfederation
Indicates the confederation or regional governing body associated with the athlete or team that finished in third place (bronze medal position) in a competition.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 3:59 p.m.