Triple

T12578394
Position Surface form Disambiguated ID Type / Status
Subject Cambridge Theatre E300267 entity
Predicate hasUpperCircle P24578 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: [Cambridge Theatre, hasUpperCircle, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUpperCircle
Context triple: [Cambridge Theatre, hasUpperCircle, yes]
  • A. hasCircle
    Indicates that one entity possesses, contains, or includes a circle as part of its structure or composition.
  • B. hasUpperPartFrom
    Indicates that an entity includes, incorporates, or is composed of an upper part originating from another entity.
  • C. hasUpperFlyTriangleColor
    Indicates that an entity’s upper fly triangle region is characterized by a specific color.
  • D. hasUpperFloor chosen
    Indicates that one entity possesses or includes an upper floor relative to another level or reference point.
  • E. hasRound
    Indicates that an entity possesses, includes, or is associated with a particular round (e.g., a round of an event, game, or process).
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954e6e20481908bca684c4b497c48 completed April 10, 2026, 7:52 p.m.
PD Predicate disambiguation batch_69d95416cbd88190b2c65196162349bc completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 4:55 p.m.