Triple
T27176802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourne Wood |
E683065
|
entity |
| Predicate | hasFilmingInfrastructure |
P184582
|
FINISHED |
| Object | temporary sets often constructed |
—
|
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: temporary sets often constructed | Statement: [Bourne Wood, hasFilmingInfrastructure, temporary sets often constructed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFilmingInfrastructure Context triple: [Bourne Wood, hasFilmingInfrastructure, temporary sets often constructed]
-
A.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
B.
hasFilmedStageProduction
Indicates that an entity has created a filmed version of a stage production (such as a play, musical, or live theatrical performance).
-
C.
stateOfFilming
Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
-
D.
hasFilmIndustryCenter
Indicates that a location serves as a primary hub or central base for activities related to the film industry.
-
E.
majorProductionHub
Indicates that a location serves as a primary center where large-scale production or manufacturing activities are concentrated.
- F. None of above. chosen
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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f7b365288c8190bcb11fcfba028737 |
completed | May 3, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f7b1b8a9fc8190a1279e67a2d12707 |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b2f2b9ac8190aa05b8a1aa18ec2d |
completed | May 3, 2026, 8:41 p.m. |
Created at: April 27, 2026, 9:26 a.m.