Triple
T35709407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Un bon bock |
E1031810
|
entity |
| Predicate | firstScreeningCountry |
P32697
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Un bon bock, firstScreeningCountry, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstScreeningCountry Context triple: [Un bon bock, firstScreeningCountry, France]
-
A.
firstForCountry
Indicates that the subject is the first instance or occurrence of its type to happen or exist within the specified country.
-
B.
positionInceptionCountry
Indicates the country in which a given position, role, or office was originally established or came into existence.
-
C.
countryOfPremiere
chosen
Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
-
D.
primaryLocationCountry
Indicates the country that serves as the main or primary location associated with the subject.
-
E.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
- F. None of above.
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_69f76e0df1d08190965b1c6dff94c391 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a387d0ea08c81908cc36e99b055c45f |
completed | June 22, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.