Triple

T28873679
Position Surface form Disambiguated ID Type / Status
Subject Blackpool Town Hall E732204 entity
Predicate hasCivicOffice P112784 FINISHED
Object office of the Mayor of Blackpool NE NERFINISHED

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: office of the Mayor of Blackpool | Statement: [Blackpool Town Hall, hasCivicOffice, office of the Mayor of Blackpool]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCivicOffice
Context triple: [Blackpool Town Hall, hasCivicOffice, office of the Mayor of Blackpool]
  • A. hasPoliticalOfficeScope
    Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
  • B. isPoliticalOffice
    Indicates that the subject is a formal governmental or political position held within a public institution or authority.
  • C. hasCivicFunction
    Indicates that an entity performs, is responsible for, or is associated with an official public or civic role, duty, or service.
  • D. hasMayorOffice chosen
    Indicates that a particular entity serves as the office or official position held by a mayor of another entity.
  • E. possibleOfficeHeld
    Indicates that an entity may have held, or is a candidate to have held, a particular office or position, without asserting it as a confirmed fact.
  • F. None of above.

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_69f05b06807c81909b4bbd4c20403a2b completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f6cee45590819086e489bfccbe4ac3 completed May 3, 2026, 4:28 a.m.
PD Predicate disambiguation batch_69f6cc1188708190b8f0f56e595e6057 completed May 3, 2026, 4:16 a.m.
Created at: April 28, 2026, 7:35 a.m.