Triple

T16765267
Position Surface form Disambiguated ID Type / Status
Subject King George Square auditorium E407446 entity
Predicate accessFrom P1985 FINISHED
Object Ann Street — NE NERFINISHED

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: Ann Street | Statement: [King George Square auditorium, accessFrom, Ann Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ann Street
Context triple: [King George Square auditorium, accessFrom, Ann Street]
  • A. Ann Street
    Ann Street is a roadway that runs through the Julia-Ann Square Historic District, a notable historic neighborhood.
  • B. Ann Street chosen
    Ann Street is a major thoroughfare in Brisbane, Australia, known for its historic buildings, churches, and proximity to the city’s central civic spaces.
  • C. Adeline Street
    Adeline Street is a major thoroughfare in Berkeley, California, known for connecting South Berkeley to other parts of the city and serving as a key local commercial and transit corridor.
  • D. Warren Street
    Warren Street is a major thoroughfare in Boston, Massachusetts, that functions as an important transit corridor and local commercial-residential street.
  • E. Warren Street
    Warren Street is the historic main commercial thoroughfare in Hudson, New York, known for its shops, galleries, and restaurants.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abf126408190bd0365eca150f745 completed April 18, 2026, 4:06 p.m.
Created at: April 10, 2026, 5:21 a.m.