Triple
T11825023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Block |
E281235
|
entity |
| Predicate | isFilmedIn |
P44217
|
FINISHED |
| Object | Real residential buildings |
—
|
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: Real residential buildings | Statement: [The Block, isFilmedIn, Real residential buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFilmedIn Context triple: [The Block, isFilmedIn, Real residential buildings]
-
A.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
B.
formerFilmingLocation
Indicates that a place was once used as a filming location for a work but is no longer used for that purpose.
-
C.
filmedAs
Indicates that an entity was recorded or captured in a particular form, version, or role during a filming or production process.
-
D.
filmingLocationContext
chosen
Indicates the contextual relationship specifying where the filming of an event, scene, or production 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5eb299481909de3c0e85628fbe4 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.