Triple
T6641862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santa Clarita |
E150603
|
entity |
| Predicate | isFilmingLocationFor |
P4373
|
FINISHED |
| Object | various Hollywood film and television productions |
—
|
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: various Hollywood film and television productions | Statement: [Santa Clarita, isFilmingLocationFor, various Hollywood film and television productions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFilmingLocationFor Context triple: [Santa Clarita, isFilmingLocationFor, various Hollywood film and television productions]
-
A.
notableFilmingLocation
Indicates that a place served as a significant or well-known location where a film or television production was shot.
-
B.
filmingLocationContext
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
C.
filmLocationFor
chosen
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
D.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
E.
stateOfFilming
Indicates the location or jurisdiction (such as a state or region) where the filming of a work takes place.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 2 p.m.