Triple

T7040410
Position Surface form Disambiguated ID Type / Status
Subject c2c E163495 entity
Predicate serviceArea P82 FINISHED
Object east London E283352 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: east London | Statement: [c2c, serviceArea, east London]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: east London
Context triple: [c2c, serviceArea, east London]
  • A. east London chosen
    East London is a historically industrial and now rapidly regenerating area of London known for its diverse communities, creative scenes, and redeveloped Docklands.
  • B. North London
    North London is the northern part of England’s capital city, known for its diverse neighborhoods, cultural attractions, and strong football heritage.
  • C. South East London
    South East London is a major subregion of Greater London encompassing a mix of residential suburbs, commercial centers, and historic areas south of the River Thames.
  • D. West London
    West London is a major subregion of the UK capital encompassing several affluent residential and commercial districts, including areas like Kensington and Chelsea.
  • E. 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.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22544708190b0dffb5256d4cda6 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775afabbc8190a6ff263b1a996c9c completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.