Triple
T17744137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Centre for the Performing Arts (Beijing) |
E442939
|
entity |
| Predicate | operaHouseCapacity |
P128833
|
FINISHED |
| Object | about 2400 |
—
|
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 2400 | Statement: [National Centre for the Performing Arts (Beijing), operaHouseCapacity, about 2400]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaHouseCapacity Context triple: [National Centre for the Performing Arts (Beijing), operaHouseCapacity, about 2400]
-
A.
hasOperaHouse
Indicates that one entity possesses, contains, or is the location of an opera house.
-
B.
hasOperaHouseAssociation
Indicates a relationship where an entity is connected or related to an opera house, such as through location, ownership, operation, affiliation, or significant involvement.
-
C.
operaFestivalVenue
Indicates that a venue is the location where an opera festival is held.
-
D.
largestOperaCompanyIn
Indicates that an entity is the largest opera company (by some measure such as size, budget, or capacity) within a specified geographic or organizational area.
-
E.
concertHallCapacityRange
Indicates the range of audience sizes (minimum to maximum capacity) that a concert hall is designed or allowed to accommodate.
- F. None of above. chosen
Provenance (4 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47acf44f8819089a18193e37d112c |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.