Triple
T22538629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westside Studios |
E557223
|
entity |
| Predicate | facilityFeature |
P79291
|
FINISHED |
| Object | recording rooms |
—
|
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: recording rooms | Statement: [Westside Studios, facilityFeature, recording rooms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facilityFeature Context triple: [Westside Studios, facilityFeature, recording rooms]
-
A.
facility
Indicates that one entity is a building, installation, or physical infrastructure used to host, support, or enable the operations or activities of another entity.
-
B.
notableReservationFeature
Indicates that there is a distinctive or noteworthy characteristic associated with a reservation.
-
C.
typicalAmenity
Indicates that something is a common or characteristic amenity typically associated with a given entity or context.
-
D.
hasFloorFeature
Indicates that a floor possesses or includes a specific feature or characteristic.
-
E.
amenitiesInclude
chosen
Indicates that a place or facility provides or contains specific amenities as part of its features.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f302cd4819098c97ca4fa96363e |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.