Triple

T8887592
Position Surface form Disambiguated ID Type / Status
Subject Drury Lane, London E211572 entity
Predicate hasTheatreDistrictRole P85551 FINISHED
Object major street in London theatreland 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: major street in London theatreland | Statement: [Drury Lane, London, hasTheatreDistrictRole, major street in London theatreland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTheatreDistrictRole
Context triple: [Drury Lane, London, hasTheatreDistrictRole, major street in London theatreland]
  • A. isPartOfTheater
    Indicates that one entity functions as a component, section, or subdivision within a larger theater (such as a theater building, complex, or organizational unit).
  • B. theaterSector
    Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
  • C. intendedTheatre
    Indicates a relationship where an entity is planned, designed, or meant to be performed, shown, or take place in a particular theatre.
  • D. hasArtDistrict
    Indicates that a place or region contains or is associated with a designated art district area.
  • E. scopeOfTheatres
    Indicates that there is a defined range, coverage, or extent of activities, responsibilities, or influence associated with particular theatres (e.g., theaters of operation or venues).
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc618d4c188190810d2e38591f515a completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
PDg Predicate description generation batch_69cc5d6e54808190af4156edd4c8ffbc completed March 31, 2026, 11:49 p.m.
Created at: March 30, 2026, 6:53 p.m.