Triple

T3713745
Position Surface form Disambiguated ID Type / Status
Subject Provinces of Pakistan E81475 entity
Predicate haveCeremonialHead P50970 FINISHED
Object Governor (Pakistan) 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: Governor (Pakistan) | Statement: [Provinces of Pakistan, haveCeremonialHead, Governor (Pakistan)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveCeremonialHead
Context triple: [Provinces of Pakistan, haveCeremonialHead, Governor (Pakistan)]
  • A. isCeremonial
    Indicates that something is associated with, intended for, or used in a formal ceremony or ritual rather than for ordinary or practical purposes.
  • B. ceremonialUse
    Indicates that something is used in a ritual, religious, or formal ceremony rather than for ordinary or practical purposes.
  • C. hasCoronationRitual
    Indicates that an entity is associated with a specific formal ceremony or set of rites used to crown or inaugurate a ruler or leader.
  • D. ceremonialDressFeature
    Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
  • E. isCeremoniallyDistinctFrom
    Indicates that two entities are formally separated or differentiated from each other within a ritual, ceremonial, or symbolic context.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9ccfad081908730ed15c6f87ce2 completed March 8, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69adc041a8608190a2d543dab6d2ef6c completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc133ef50819094c2b971f31f1615 completed March 8, 2026, 6:34 p.m.
Created at: March 8, 2026, 3:33 p.m.