Triple

T2554303
Position Surface form Disambiguated ID Type / Status
Subject Iskander Mirza E56697 entity
Predicate officeStart (Governor-General of Pakistan) P40809 FINISHED
Object 1955-08-07 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: 1955-08-07 | Statement: [Iskander Mirza, officeStart (Governor-General of Pakistan), 1955-08-07]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officeStart (Governor-General of Pakistan)
Context triple: [Iskander Mirza, officeStart (Governor-General of Pakistan), 1955-08-07]
  • A. officeStartForPresident
    Indicates the date or point in time when a person begins serving in the role of president.
  • B. officeStartAsMinisterOfNativeAffairs
    Indicates the point in time when an individual begins serving in the role of Minister of Native Affairs.
  • C. secretaryGeneralStart
    Indicates the date or point in time when an individual begins serving as secretary general of an organization or body.
  • D. governorOfPunjabAtTheTime
    Indicates that one entity held the official position of Governor of Punjab during the time period relevant to the other entity or event.
  • E. appointedGovernorGeneralOnAdviceOf
    Indicates that an individual was appointed as Governor General based on the formal advice or recommendation of another specified party.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd5a33234819082ad49fa6594b6be completed March 7, 2026, 7:37 a.m.
PD Predicate disambiguation batch_69abd0c8b6f08190a68645db3e8b779a completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd5a1cd508190a660b9a3c6b7cbcb completed March 7, 2026, 7:37 a.m.
Created at: March 6, 2026, 9:48 p.m.