Triple

T34077372
Position Surface form Disambiguated ID Type / Status
Subject Jihad Dib E873942 entity
Predicate stateLevelPolitician P120266 FINISHED
Object true 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: true | Statement: [Jihad Dib, stateLevelPolitician, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateLevelPolitician
Context triple: [Jihad Dib, stateLevelPolitician, true]
  • A. stateLevelPoliticianIn
    Indicates that a person holds or has held a political office or role within the government of a specified state or subnational jurisdiction.
  • B. stateOfPoliticalOffice
    Indicates the political office or governmental position currently held or associated with an entity.
  • C. stateRepresentedInPolitics
    Indicates that a political entity or interest is represented within the political system or decision-making structures of a given state.
  • D. officeHolderPoliticalLevel
    Indicates the political or administrative level (e.g., local, regional, national) at which an office holder’s position or authority is situated.
  • E. stateLevelOfficeHeld chosen
    Indicates that an entity has held a public office or position within a state-level government.
  • 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_69f349a566808190a1c63b898f33cddf completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69fe68a4b67881909ca1d9f276f922e0 completed May 8, 2026, 10:50 p.m.
PD Predicate disambiguation batch_69fe680234c88190b01f953987b74972 completed May 8, 2026, 10:47 p.m.
Created at: May 1, 2026, 1:52 a.m.