Triple
T3994005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Off-Off-Broadway |
E87056
|
entity |
| Predicate | typicalTicketPrice |
P3997
|
FINISHED |
| Object | lower than Broadway |
—
|
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: lower than Broadway | Statement: [Off-Off-Broadway, typicalTicketPrice, lower than Broadway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTicketPrice Context triple: [Off-Off-Broadway, typicalTicketPrice, lower than Broadway]
-
A.
admissionFee
chosen
Indicates the monetary charge required for entry or participation in a place, event, or activity.
-
B.
ticketedAttraction
Indicates that access to the attraction requires a purchased ticket or paid admission.
-
C.
ticketClass
Indicates the category or level of service assigned to a ticket within a ticketing or reservation system.
-
D.
ticketRevenueModel
Indicates the method or structure by which revenue is generated from ticket sales.
-
E.
ticketDemand
Indicates that there is a level of desire or need among potential buyers for tickets to an event, service, or offering.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb81040481909b22e4c445ecae0f |
completed | March 9, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69aef8f692008190bf4d637ffc3d3eaa |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.