Triple
T25511355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studios de Boulogne |
E639387
|
entity |
| Predicate | languageOfMainProduction |
P77862
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [Studios de Boulogne, languageOfMainProduction, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfMainProduction Context triple: [Studios de Boulogne, languageOfMainProduction, French]
-
A.
primaryFilmingLanguage
Indicates the main language in which a film or audiovisual work was originally filmed or recorded.
-
B.
filmedInLanguage
Indicates that a film or video work was originally recorded using a particular spoken or signed language.
-
C.
areSpokenIn
Indicates that a particular language is used as a spoken means of communication within a specified region, community, or context.
-
D.
workLanguageOfTitle
Indicates the language in which a specific work or title is expressed or written.
-
E.
languageOfPrimaryNarrations
chosen
Indicates the language in which the main or primary narrations are expressed or conveyed.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 21, 2026, 2:49 p.m.