Triple

T8050469
Position Surface form Disambiguated ID Type / Status
Subject Gunnersbury E187659 entity
Predicate locatedIn P40 FINISHED
Object West London E81336 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: West London | Statement: [Gunnersbury, locatedIn, West London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West London
Context triple: [Gunnersbury, locatedIn, West London]
  • A. West London chosen
    West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
  • B. North West London
    North West London is a broad area of the capital encompassing a mix of residential suburbs, commercial districts, and green spaces in the northwestern part of Greater London.
  • C. South London
    South London is the southern part of Greater London, known for its diverse residential neighborhoods, rich football culture, and landmarks such as Crystal Palace and Greenwich.
  • D. North London
    North London is the northern part of England’s capital city, known for its diverse neighborhoods, cultural attractions, and strong football heritage.
  • E. southwest London
    Southwest London is a suburban and partly riverside area of the UK capital, encompassing boroughs along the River Thames and known for its historic sites, green spaces, and residential neighborhoods.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f799d1481909c91039941af0e34 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93cc0cec8190834e4c24f6d03a99 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:24 p.m.