Triple

T6285140
Position Surface form Disambiguated ID Type / Status
Subject Cívitas Metropolitano E140880 entity
Predicate hasBigScreen P36451 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: [Cívitas Metropolitano, hasBigScreen, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBigScreen
Context triple: [Cívitas Metropolitano, hasBigScreen, yes]
  • A. hasIMAXScreen
    Indicates that a venue, theater, or location is equipped with at least one IMAX-format screen.
  • B. hasScreen chosen
    Indicates that an entity is equipped with or includes a screen or display component.
  • C. hasTopScreenSize
    Indicates that an entity (typically a device) possesses a top screen with a specified size or dimension.
  • D. hasNumberOfScreens
    Indicates the quantity of screens associated with or contained in a given entity.
  • E. hasLargeScale
    Indicates that an entity operates, exists, or is implemented at a large or extensive scale relative to typical or baseline cases.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fc906481908283c6c50a212515 completed March 22, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69c0560a0270819098ad2785b91e8f39 completed March 22, 2026, 8:50 p.m.
Created at: March 22, 2026, 4:26 p.m.