Triple

T37622462
Position Surface form Disambiguated ID Type / Status
Subject Richard Rodgers Theatre E936105 entity
Predicate hasMezzanineSeating P200678 FINISHED
Object yes 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: yes | Statement: [Richard Rodgers Theatre, hasMezzanineSeating, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMezzanineSeating
Context triple: [Richard Rodgers Theatre, hasMezzanineSeating, yes]
  • A. hasSeating
    Indicates that one entity provides or contains seating capacity or seating arrangements for another entity.
  • B. hasBandSeating
    Indicates that a venue or location provides designated seating specifically for a band or musical ensemble.
  • C. hasBleacherSeating
    Indicates that a venue or location is equipped with bleacher-style seating for spectators.
  • D. hasBoxSeating
    Indicates that an entity provides or includes box seating as a type of seating arrangement.
  • E. hasLevelingSeats
    Indicates that an entity is equipped with seats whose positions can be adjusted or leveled relative to their surroundings.
  • 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69ff9e91bba08190af04b31ad815b13a completed May 9, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69ff9e00e4808190bde8f07e6519a72c completed May 9, 2026, 8:50 p.m.
PDg Predicate description generation batch_69ff9e90b5248190bdd8d13f966b63e1 completed May 9, 2026, 8:52 p.m.
Created at: May 3, 2026, 4:18 p.m.