Triple

T28450572
Position Surface form Disambiguated ID Type / Status
Subject Perm Sec E716566 entity
Predicate hasRankRelativeToMinisters P167239 FINISHED
Object non-political counterpart to a Secretary of State 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: non-political counterpart to a Secretary of State | Statement: [Perm Sec, hasRankRelativeToMinisters, non-political counterpart to a Secretary of State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRankRelativeToMinisters
Context triple: [Perm Sec, hasRankRelativeToMinisters, non-political counterpart to a Secretary of State]
  • A. hasMinisterialRank
    Indicates that an entity holds a position or status equivalent to a government minister in rank.
  • B. rankComparedToCabinetMinister chosen
    Indicates how an entity’s rank or status compares relative to that of a cabinet minister.
  • C. hasMinister
    Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
  • D. hasMinisterTitle
    Indicates that an entity holds or is associated with a specific ministerial title or office.
  • 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_69efd6b76f8c8190a7ba908aca280942 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_69f6ffbad8848190867c2988c0ceb84f completed May 3, 2026, 7:56 a.m.
PD Predicate disambiguation batch_69f6fc53f4f881908dcc698687bbb64d completed May 3, 2026, 7:42 a.m.
Created at: April 28, 2026, 1:51 a.m.