Triple

T30337145
Position Surface form Disambiguated ID Type / Status
Subject gens Aurelia E771652 entity
Predicate heldMagistracies P168857 FINISHED
Object consulship 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: consulship | Statement: [gens Aurelia, heldMagistracies, consulship]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: heldMagistracies
Context triple: [gens Aurelia, heldMagistracies, consulship]
  • A. typeOfMagistracyCovered
    Indicates that one entity pertains to, falls under, or is governed by a particular type or category of magistracy.
  • B. heldCeremonialOffice
    Indicates that an entity occupied a formal ceremonial position or title, typically without executive or decision-making authority.
  • C. heldJudicialPositionIn
    Indicates that an entity served in an official judicial role or office within a specified jurisdiction or court.
  • D. magistrateOf
    Indicates that a person holds the official position or role of magistrate in relation to a particular jurisdiction, institution, or group.
  • E. heldExOfficioBy
    Indicates that a position, office, or role is occupied by someone by virtue of holding another office or status, rather than by separate appointment or election.
  • 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681ce34048190b4d31e2966949d8c completed May 2, 2026, 10:59 p.m.
PD Predicate disambiguation batch_69f67603526c81908295a1ece8727c66 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676f73c3481909f01fa69851b7298 completed May 2, 2026, 10:13 p.m.
Created at: April 29, 2026, 7:54 p.m.