Triple
T17185431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio A |
E417093
|
entity |
| Predicate | partOfBuildingType |
P66281
|
FINISHED |
| Object | professional recording studio |
—
|
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: professional recording studio | Statement: [Studio A, partOfBuildingType, professional recording studio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfBuildingType Context triple: [Studio A, partOfBuildingType, professional recording studio]
-
A.
typeOfBuildingSpace
Indicates the specific kind or category of building space that an entity represents or occupies.
-
B.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
partOfFacility
chosen
Indicates that one entity is a component, section, or sub-unit belonging to a larger facility.
-
D.
buildingTypeOfChamber
Indicates the type or category of building in which a given chamber is located or to which it belongs.
-
E.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e383141ae0819096acd71683637cbc |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.