Triple

T31548312
Position Surface form Disambiguated ID Type / Status
Subject City of Manchester E804925 entity
Predicate hasLordMayor P194997 FINISHED
Object Lord Mayor of Manchester E4165 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: Lord Mayor of Manchester | Statement: [City of Manchester, hasLordMayor, Lord Mayor of Manchester]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLordMayor
Context triple: [City of Manchester, hasLordMayor, Lord Mayor of Manchester]
  • A. hasMayor
    Indicates that one entity serves as the mayor of another entity, typically a city, town, or municipality.
  • B. hasLordSpeaker
    Indicates that one entity serves as the Lord Speaker (presiding officer) of another entity, typically a parliamentary or legislative body.
  • C. hasCeremonialLordLieutenant
    Indicates that an administrative area is formally assigned a specific ceremonial lord-lieutenant as its official representative.
  • D. cityMayor
    Indicates that one entity serves as the mayor (chief elected municipal official) of the city represented by the other entity.
  • E. hasHeadOfLocalGovernment
    Indicates that an administrative area is associated with the person who serves as its chief local government official.
  • 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_69f348d11a048190a65eb8384a3754ac completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fd974d75e08190af46b1d608769f3b completed May 8, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d8eeff08190bb1372f652ba490e completed June 11, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69fd94ff792c8190bedf4a639d3da809 completed May 8, 2026, 7:47 a.m.
PDg Predicate description generation batch_69fd974c0e8481909fdd312897c647b3 completed May 8, 2026, 7:57 a.m.
Created at: April 30, 2026, 10:09 p.m.