Triple
T9356081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darya Domracheva |
E225143
|
entity |
| Predicate | OlympicBronzeEvent |
P6618
|
FINISHED |
| Object | women's 7.5 km sprint at the 2010 Winter Olympics |
—
|
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: women's 7.5 km sprint at the 2010 Winter Olympics | Statement: [Darya Domracheva, OlympicBronzeEvent, women's 7.5 km sprint at the 2010 Winter Olympics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: OlympicBronzeEvent Context triple: [Darya Domracheva, OlympicBronzeEvent, women's 7.5 km sprint at the 2010 Winter Olympics]
-
A.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
B.
olympicBronzeMedalCity
Indicates that a city is the location where an Olympic bronze medal was won or awarded.
-
C.
olympicBronzeMedals
chosen
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
D.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
E.
OlympicMedalEvent
Indicates that an entity represents a specific Olympic Games event in which medals are awarded.
- 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_69ca842abfd48190949d71c3b86eeba8 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4fee9d4c8190a7d121c9487ccca2 |
completed | April 1, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69cc7a68ab9481909f97cb70764697cc |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:42 p.m.