Triple

T2117913
Position Surface form Disambiguated ID Type / Status
Subject George Square E43849 entity
Predicate borderedBy P224 FINISHED
Object Queen Street E227017 NE 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: Queen Street | Statement: [George Square, borderedBy, Queen Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Queen Street
Context triple: [George Square, borderedBy, Queen Street]
  • A. Queen Street
    Queen Street is the main commercial and retail thoroughfare in central Auckland, New Zealand, known for its shops, offices, and entertainment venues.
  • B. Queen Street chosen
    Queen Street is a major commercial thoroughfare in central Cardiff, Wales, known for its busy shopping area and pedestrianized zone.
  • C. Queen Street
    Queen Street is a central shopping and pedestrian thoroughfare in Oxford, England, linking the city’s main commercial and historic areas.
  • D. Queen Street
    Queen Street is a central London road in the City of London that connects key financial and commercial areas near the River Thames.
  • E. Queen Street
    Queen Street is a notable thoroughfare running through downtown Honolulu, Hawaii, lined with commercial buildings and serving as part of the city’s central business district street grid.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2f6f608190937889bb393fe7c6 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58cd22c8819096dfd06d16703bf8 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.