Triple

T7800446
Position Surface form Disambiguated ID Type / Status
Subject Putney E180415 entity
Predicate hasShoppingArea P4285 FINISHED
Object Putney High Street E605345 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: Putney High Street | Statement: [Putney, hasShoppingArea, Putney High Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Putney High Street
Context triple: [Putney, hasShoppingArea, Putney High Street]
  • A. Putney High Street chosen
    Putney High Street is a busy commercial and shopping street in the southwest London district of Putney, known for its mix of retail, dining, and local services.
  • B. Medford Street
    Medford Street is a roadway in Somerville, Massachusetts, that passes through the commercial and transit hub of Magoun Square.
  • C. Portland Street
    Portland Street is a major thoroughfare in central Manchester, England, known for its commercial activity and proximity to key city landmarks.
  • D. Bedford Street
    Bedford Street is a central thoroughfare in Belfast, Northern Ireland, known for its mix of historic architecture, offices, and cultural venues close to Donegall Square.
  • E. Gerrard Street
    Gerrard Street is the central thoroughfare of London’s Chinatown, known for its dense concentration of Chinese restaurants, supermarkets, and cultural landmarks.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae98765c48190b325eee67bd663fc completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb142117b48190bdc17677592bfa8f completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:33 p.m.