Triple
T25122849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Prix de Littérature Policière |
E629311
|
entity |
| Predicate | countryOfOriginOfPrize |
P26
|
FINISHED |
| Object | France |
—
|
NE NERFINISHED |
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: France | Statement: [Grand Prix de Littérature Policière, countryOfOriginOfPrize, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfPrize Context triple: [Grand Prix de Littérature Policière, countryOfOriginOfPrize, France]
-
A.
countryOfAwarding
Indicates the country that officially granted or conferred a particular award, honor, or recognition.
-
B.
countryOfOrigin
chosen
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
continentOfAwardingCountry
Indicates the continent on which the country that granted or issued the award is located.
-
D.
nationalityOfWinner
Indicates the country or nationality associated with the winner of a given event or competition.
-
E.
placeOfOrigin
Indicates the location or source from which an entity originally comes or was created.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 18, 2026, 6:28 a.m.