Triple

T14856931
Position Surface form Disambiguated ID Type / Status
Subject Borough of Tamworth E349381 entity
Predicate hasCouncilSeats P87204 FINISHED
Object 30 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: 30 | Statement: [Borough of Tamworth, hasCouncilSeats, 30]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCouncilSeats
Context triple: [Borough of Tamworth, hasCouncilSeats, 30]
  • A. hasCouncilSeat
    Indicates that an entity holds a position or seat on a governing council.
  • B. hasCouncillors chosen
    Indicates that an entity is associated with one or more councillors who serve or represent it in an official capacity.
  • C. hasHouseSeat
    Indicates that an entity holds or is assigned a seat or position in a particular house (such as a legislative or representative body).
  • D. hasCouncilChambers
    Indicates that an entity possesses or contains designated rooms or facilities used for council meetings or deliberations.
  • E. hasMinisterialSeat
    Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44458ec8190be295a95f5daab14 completed April 14, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:54 a.m.