Triple
T36857984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Films Vog |
E910848
|
entity |
| Predicate | regionOfFilmSourcing |
P171148
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Les Films Vog, regionOfFilmSourcing, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfFilmSourcing Context triple: [Les Films Vog, regionOfFilmSourcing, Europe]
-
A.
primaryFilmingRegions
Indicates the main geographic areas where the filming or production of a work primarily took place.
-
B.
filmRegion
Indicates the geographic region or market in which a film is released, distributed, or primarily associated.
-
C.
filmingRegions
chosen
Indicates the geographic areas or locations where the filming or production of a work takes place.
-
D.
cinemaRegion
Indicates that a cinema is located within, or associated with, a particular geographic or administrative region.
-
E.
focusRegionOfFilms
Indicates that the films share or are associated with a particular geographic or thematic region that is the main focus of their content or setting.
- 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_69f76e8033d48190a59274f86f13be48 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a00383e868c819098fd17e25fcbdb04 |
completed | May 10, 2026, 7:48 a.m. |
| PD | Predicate disambiguation | batch_6a0037cc59688190b7b9da939a413db3 |
completed | May 10, 2026, 7:46 a.m. |
Created at: May 3, 2026, 4:13 p.m.