Triple
T21130609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1929 Academy Awards |
E520672
|
entity |
| Predicate | venueRoom |
P5521
|
FINISHED |
| Object | Blossom Room |
—
|
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: Blossom Room | Statement: [1929 Academy Awards, venueRoom, Blossom Room]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venueRoom Context triple: [1929 Academy Awards, venueRoom, Blossom Room]
-
A.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
B.
reservationSystem
Indicates a system or process that manages the creation, modification, and tracking of reservations or bookings between parties.
-
C.
sessionRoomLocation
Indicates the specific room or physical location where a given session takes place.
-
D.
hasRoom
chosen
Indicates that an entity possesses, contains, or is associated with a specific room.
-
E.
reservationLocatedIn
Indicates that a reservation (such as a booking or held resource) is situated within or associated with a specific location or 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723556ec08190a2ade96c76f9cec7 |
completed | April 21, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69e5f5ed6c8c8190b31092a5d4c3de5d |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 2:56 p.m.