Triple

T46598
Position Surface form Disambiguated ID Type / Status
Subject Manchester City Council E913 entity
Predicate hasNumberOfCouncillors P2433 FINISHED
Object 96 LITERAL 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: 96 | Statement: [Manchester City Council, hasNumberOfCouncillors, 96]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfCouncillors
Context triple: [Manchester City Council, hasNumberOfCouncillors, 96]
  • A. hasCouncilDistrict
    Indicates that an entity is located within or represented by a specific council district.
  • B. numberOfDistricts
    Indicates the total count of districts associated with a given entity or area.
  • C. electorate
    Indicates that an entity functions as the body of people entitled to vote in relation to a particular political unit, office, or decision.
  • D. presidingOfficerForCount
    Indicates that a particular officer has official responsibility for overseeing or presiding over a specific count (such as a charge, claim, or item) within a legal or procedural context.
  • E. hasElectoralRepresentation
    Indicates that one entity is represented in an electoral body or decision-making institution by another entity (such as a representative, party, or delegation).
  • F. None of above. chosen

Provenance (4 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_69a2480baefc81909951b14058479aa2 completed Feb. 28, 2026, 1:42 a.m.
NER Named-entity recognition batch_69a24b1bf2c081908f20e13939b713ff completed Feb. 28, 2026, 1:55 a.m.
PD Predicate disambiguation batch_69a24abd07508190a83ffba5368c1c79 completed Feb. 28, 2026, 1:54 a.m.
PDg Predicate description generation batch_69a24b1a42888190b56a5e457e11604f completed Feb. 28, 2026, 1:55 a.m.
Created at: Feb. 28, 2026, 1:47 a.m.