Triple

T37483343
Position Surface form Disambiguated ID Type / Status
Subject President of Pakistan Muslim League (N) E931464 entity
Predicate partyOrientation P130050 FINISHED
Object centre-right, pro-business 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: centre-right, pro-business | Statement: [President of Pakistan Muslim League (N), partyOrientation, centre-right, pro-business]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partyOrientation
Context triple: [President of Pakistan Muslim League (N), partyOrientation, centre-right, pro-business]
  • A. politicalOrientationOfParty chosen
    Indicates the political ideology or orientation that characterizes a political party.
  • B. partyAlignment
    Indicates the political party or faction with which an entity is formally or informally affiliated or aligned.
  • C. isLessPartyOrientedThan
    Indicates that one entity engages in partying or social festivities to a lesser extent than another entity.
  • D. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • E. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • 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_69f76ec382248190b47844df596123c6 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba68077788190b311e027435fcf87 completed May 6, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69fba34c65ac8190b298f0f00d1dcc0e completed May 6, 2026, 8:23 p.m.
Created at: May 3, 2026, 4:17 p.m.