Triple
T12173544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Hughes |
E290032
|
entity |
| Predicate | wonOlympicBronzeMedalInEvent |
P6618
|
FINISHED |
| Object | road race cycling |
—
|
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: road race cycling | Statement: [Clara Hughes, wonOlympicBronzeMedalInEvent, road race cycling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonOlympicBronzeMedalInEvent Context triple: [Clara Hughes, wonOlympicBronzeMedalInEvent, road race cycling]
-
A.
olympicGoldMedalInEvent
Indicates that an entity has won an Olympic gold medal in a specified sporting event.
-
B.
olympicBronzeMedals
chosen
Indicates that the subject has been awarded one or more Olympic bronze medals.
-
C.
olympicBronzeYear
Indicates the year in which an entity received or achieved an Olympic bronze medal.
-
D.
OlympicSilverInEvent
Indicates that an entity won a silver medal in a specified Olympic event.
-
E.
olympicBronzeMedalCity
Indicates that a city is the location where an Olympic bronze medal was won or 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.