Triple
T23772243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celine (Las Vegas residency) |
E587563
|
entity |
| Predicate | hostTheatreCapacity |
P103582
|
FINISHED |
| Object | about 4100 |
—
|
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: about 4100 | Statement: [Celine (Las Vegas residency), hostTheatreCapacity, about 4100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostTheatreCapacity Context triple: [Celine (Las Vegas residency), hostTheatreCapacity, about 4100]
-
A.
venueCapacityApproximate
chosen
Indicates an approximate or estimated capacity of a venue in terms of how many people it can accommodate.
-
B.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
C.
roomCapacity
Indicates the maximum number of people or occupants that a room is designed or allowed to hold.
-
D.
standingCapacity
Indicates the maximum number of people that are allowed or able to stand in a given space or vehicle.
-
E.
concertCapacity
Indicates the maximum number of people that can be accommodated at a concert event or venue.
- 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_69e2490d245881909028226a1393d624 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1c467e6588190aab28bc5a8e43e80 |
completed | April 29, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.