Triple

T33352473
Position Surface form Disambiguated ID Type / Status
Subject Abdul Hamid Dbeibeh E853981 entity
Predicate wasAppointedThrough P122568 FINISHED
Object UN-backed political process 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: UN-backed political process | Statement: [Abdul Hamid Dbeibeh, wasAppointedThrough, UN-backed political process]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wasAppointedThrough
Context triple: [Abdul Hamid Dbeibeh, wasAppointedThrough, UN-backed political process]
  • A. wasAppointed
    Indicates that an entity has been officially assigned or designated to a position, role, or office by an authority or decision-making body.
  • B. appointedThrough chosen
    Indicates that an entity attained a position, role, or status by means of a specific appointing process, mechanism, or intermediary.
  • C. appointedFrom
    Indicates that an entity was selected or assigned to a position or role originating from a specified source, body, or prior position.
  • D. appointedBy
    Indicates that one entity has been formally selected or assigned to a position, role, or office by another entity.
  • E. appointedIn
    Indicates that an entity is formally assigned or designated to a role, position, or office within a specific context, organization, or jurisdiction.
  • 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_69f3496acbc8819099fd0305ecc42080 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e3156ea48190b604e414665ef351 completed May 3, 2026, 5:54 a.m.
PD Predicate disambiguation batch_69f6de0b9ba48190887c9eb5d06a2e94 completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:34 a.m.