Triple
T36248352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Boyard |
E891724
|
entity |
| Predicate | hasFilmingSet |
P184582
|
FINISHED |
| Object | cells and challenges built inside the fort |
—
|
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: cells and challenges built inside the fort | Statement: [Fort Boyard, hasFilmingSet, cells and challenges built inside the fort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmingSet Context triple: [Fort Boyard, hasFilmingSet, cells and challenges built inside the fort]
-
A.
hasFilmingAssociation
Indicates a relationship where an entity is connected to another through involvement in the same filming activity, production, or filming-related context.
-
B.
hasFilmingInfrastructure
chosen
Indicates that a location or entity possesses the necessary facilities, equipment, and support systems required for film production to take place there.
-
C.
stateOfFilming
Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
-
D.
hasFilmingUseSince
Indicates that a location or object has been used for filming purposes starting from a specified point in time and continuing thereafter.
-
E.
filmingState
Indicates the current production or recording status of a filming activity, such as whether it is planned, in progress, paused, or completed.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a0008225cc081909ff1fd0639859dc4 |
completed | May 10, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_6a0007bac5d8819098aff8031d4abe5d |
completed | May 10, 2026, 4:21 a.m. |
Created at: May 3, 2026, 4:09 p.m.