Triple
T22166205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WXTV-DT |
E547794
|
entity |
| Predicate | primaryStudiosLocation |
P90621
|
FINISHED |
| Object | Secaucus, New Jersey |
—
|
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: Secaucus, New Jersey | Statement: [WXTV-DT, primaryStudiosLocation, Secaucus, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryStudiosLocation Context triple: [WXTV-DT, primaryStudiosLocation, Secaucus, New Jersey]
-
A.
productionCompanyLocation
Indicates the relationship between a production company and the geographic location where it is based or operates.
-
B.
primaryLocationOfAppearances
Indicates the main place where an entity most frequently appears or is featured.
-
C.
primaryFilmingRegions
Indicates the main geographic areas where the filming or production of a work primarily took place.
-
D.
filmingStudio
Indicates that a studio is responsible for producing or filming a particular audiovisual work.
-
E.
hasStudiosIn
chosen
Indicates that an entity operates or maintains studio facilities located in a specified place or region.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a314cc081908857c13d018d52b2 |
completed | April 28, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.