Triple

T14616142
Position Surface form Disambiguated ID Type / Status
Subject Whitworth Street, Manchester E343090 entity
Predicate crosses P416 FINISHED
Object Princess Street E220962 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: Princess Street | Statement: [Whitworth Street, Manchester, crosses, Princess Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Street
Context triple: [Whitworth Street, Manchester, crosses, Princess Street]
  • A. Princess Street chosen
    Princess Street is a central thoroughfare in Manchester, England, known for running through key districts including the city's Chinatown.
  • B. Princess Street
    Princess Street is one of the oldest and most popular heritage streets in Fort Kochi, Kerala, known for its colonial-era architecture, cafes, and tourist-friendly shops.
  • C. Princesa Street
    Princesa Street is a major thoroughfare in Madrid, Spain, known for its shops, cinemas, and connection between Plaza de España and the Argüelles area.
  • D. Gordon Street
    Gordon Street is a central thoroughfare in Glasgow, Scotland, known for its proximity to major transport links, shops, and city landmarks.
  • E. Argyll Street
    Argyll Street is a central London street in the West End, known for its proximity to Oxford Circus and its mix of retail, commercial, and historic buildings.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16c005c81908b54fcfd4243d820 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:25 a.m.