Triple

T3850593
Position Surface form Disambiguated ID Type / Status
Subject EGKK E85284 entity
Predicate regionServed P82 FINISHED
Object London metropolitan area E19101 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: London metropolitan area | Statement: [EGKK, regionServed, London metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London metropolitan area
Context triple: [EGKK, regionServed, London metropolitan area]
  • A. Central London
    Central London is the innermost part of London, England, encompassing its historic core and primary commercial, political, and cultural districts.
  • B. Greater London chosen
    Greater London is the administrative and ceremonial region encompassing the city of London and its surrounding boroughs, forming the core metropolitan area of the United Kingdom’s capital.
  • C. Manchester metropolitan area
    The Manchester metropolitan area is a New Hampshire-centered urban and economic region anchored by the city of Manchester and its surrounding communities.
  • D. London District
    London District is a British Army command responsible for overseeing military units and ceremonial duties in the Greater London area.
  • E. 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.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcf67788190975105131baabc4b completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560fd8808190a63143266f344e8d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:19 p.m.