Triple

T20427809
Position Surface form Disambiguated ID Type / Status
Subject Minister for Magic E501049 entity
Predicate hasSeatOfOffice P115570 FINISHED
Object Ministry of Magic headquarters in London 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: Ministry of Magic headquarters in London | Statement: [Minister for Magic, hasSeatOfOffice, Ministry of Magic headquarters in London]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeatOfOffice
Context triple: [Minister for Magic, hasSeatOfOffice, Ministry of Magic headquarters in London]
  • A. hasExecutiveSeat
    Indicates that an entity holds a position or seat with executive authority or decision-making power within an organization or governing body.
  • B. servesAsOfficeOf
    Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
  • C. hasMinisterialSeat
    Indicates that a governmental or administrative body holds its official ministerial seat or headquarters at a particular location.
  • D. seatOfRepresentative chosen
    Indicates the location or institution where a representative officially holds their position or exercises their duties.
  • E. hasCouncilSeat
    Indicates that an entity holds a position or seat on a governing council.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba9700481909fa23493f98095d1 completed April 20, 2026, 7:16 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:31 a.m.