Triple

T38188787
Position Surface form Disambiguated ID Type / Status
Subject London–Manchester E1005393 entity
Predicate hasMainLondonCity P207632 FINISHED
Object London E1817 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 | Statement: [London–Manchester, hasMainLondonCity, London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMainLondonCity
Context triple: [London–Manchester, hasMainLondonCity, London]
  • A. hasLondonBorough
    Indicates that an entity includes, contains, or is associated with a specific London borough as one of its administrative subdivisions.
  • B. hasOuterLondonBorough
    Indicates that an entity is associated with, located in, or administered by a borough that is part of Outer London.
  • C. isInLondonSubRegion
    Indicates that one entity is located within the London sub-region of another defined geographic or administrative area.
  • D. isInInnerLondon
    Indicates that one location lies within the administrative area defined as Inner London.
  • E. isOuterLondonBorough
    Indicates that a borough is classified as part of Outer London rather than Inner London.
  • F. None of above. chosen

Provenance (5 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_69f76dbc22c481908139b694ffde7a0c completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_6a037df1223c8190a5d61e4f8e6fd613 completed May 12, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a418533a08481909bfab2a319aa8c99 completed June 28, 2026, 8:33 p.m.
PD Predicate disambiguation batch_6a037a1ad6c48190bfe35d350c1b4751 completed May 12, 2026, 7:06 p.m.
PDg Predicate description generation batch_6a037df009f4819082e04683e6e8a106 completed May 12, 2026, 7:22 p.m.
Created at: May 3, 2026, 4:29 p.m.