Triple

T38323753
Position Surface form Disambiguated ID Type / Status
Subject Ram Bahadur Thapa (Badal) E1036725 entity
Predicate postConflictRole P6060 FINISHED
Object mainstream politician 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: mainstream politician | Statement: [Ram Bahadur Thapa (Badal), postConflictRole, mainstream politician]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postConflictRole
Context triple: [Ram Bahadur Thapa (Badal), postConflictRole, mainstream politician]
  • A. postConflictStatus
    Indicates the condition or circumstances of an entity after a conflict or dispute has concluded.
  • B. conflictRole chosen
    Indicates that an entity plays a specific role or position within a conflict or dispute between parties.
  • C. postConflictContext
    Indicates that the relationship or action occurs within, or is shaped by, a setting that follows the end of an armed conflict or violent confrontation.
  • D. postConflictChallenge
    Indicates the difficulties, tensions, or obstacles that arise between parties after a conflict has formally ended.
  • E. postConflictReconstruction
    Indicates efforts or processes aimed at rebuilding, restoring, and stabilizing societies, institutions, and infrastructure following the end of an armed conflict.
  • 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_69f76e1c16fc8190bde982289dd5106b completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fccbd826708190b5fab12c4236299a completed May 7, 2026, 5:28 p.m.
PD Predicate disambiguation batch_69fcc58838e08190b8fa54aa5c165f2d completed May 7, 2026, 5:02 p.m.
Created at: May 3, 2026, 4:30 p.m.