Triple
T2994165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Phillips Center for the Performing Arts |
E81026
|
entity |
| Predicate | hallCapacity |
P2491
|
FINISHED |
| Object | about 1700 seats (Steinmetz Hall, variable) |
—
|
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 1700 seats (Steinmetz Hall, variable) | Statement: [Dr. Phillips Center for the Performing Arts, hallCapacity, about 1700 seats (Steinmetz Hall, variable)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hallCapacity Context triple: [Dr. Phillips Center for the Performing Arts, hallCapacity, about 1700 seats (Steinmetz Hall, variable)]
-
A.
audienceCapacityType
Indicates the classification or type of capacity used to describe how many audience members a venue or event space can accommodate.
-
B.
seatingCapacity
chosen
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
-
C.
courtyardCapacity
Indicates the maximum number of entities that can be accommodated in a courtyard at the same time.
-
D.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
E.
hall
Indicates that an entity is a hall, i.e., a large room or building space used for gatherings, events, or passage.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.