Triple

T4236472
Position Surface form Disambiguated ID Type / Status
Subject Argyle Line E94705 entity
Predicate servesDistrict P82 FINISHED
Object Argyle Street E58378 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: Argyle Street | Statement: [Argyle Line, servesDistrict, Argyle Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argyle Street
Context triple: [Argyle Line, servesDistrict, Argyle Street]
  • A. Argyle Street chosen
    Argyle Street is one of Glasgow’s main shopping and thoroughfare streets, running through the city centre and known for its retail outlets and busy pedestrian traffic.
  • B. Serle Street
    Serle Street is a street in central London located near Lincoln's Inn Fields, within the historic legal district close to major courts and legal institutions.
  • C. Hurst Street
    Hurst Street is a well-known street in Birmingham, England, recognized for its nightlife and as the heart of the city’s Gay Village.
  • D. Livingston Street
    Livingston Street is one of the historic streets that form part of the Academy Street Historic District, a recognized area of architectural and cultural significance.
  • E. Bedwin Street
    Bedwin Street is a central thoroughfare in the historic cathedral city of Salisbury, England, lined with a mix of shops, services, and local businesses.
  • 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_69b34537cc6481909cd0a96acbb33ef7 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e7422a88190955f5f4347fa80d2 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9c89d62c08190b575d7e1058afbeb completed March 30, 2026, 12:49 a.m.
Created at: March 12, 2026, 11:05 p.m.