Triple

T35005955
Position Surface form Disambiguated ID Type / Status
Subject Tarana-e-Pakistan E1009808 entity
Predicate hasOfficialKey P187082 FINISHED
Object B-flat major (commonly used) 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: B-flat major (commonly used) | Statement: [Tarana-e-Pakistan, hasOfficialKey, B-flat major (commonly used)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOfficialKey
Context triple: [Tarana-e-Pakistan, hasOfficialKey, B-flat major (commonly used)]
  • A. hasOfficial
    Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
  • B. hasOfficialUse
    Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
  • C. hasOfficialDocument
    Indicates that an entity possesses or is associated with a formal, authorized document issued by a recognized authority.
  • D. isOfficial
    Indicates that an entity holds formal, authorized, or government-recognized status in a given context.
  • E. keyOfficialAssociated
    Indicates that an entity is formally connected to or designated as a primary or principal official for another entity or 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_69f76dcb716881909f75e4fd60ab2284 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fb3425666081908916fcbf3b5dd907 completed May 6, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69fb2f5f3164819099429c2cc3d24e01 completed May 6, 2026, 12:09 p.m.
PDg Predicate description generation batch_69fb3424724c8190ba55ecf66fa0b171 completed May 6, 2026, 12:29 p.m.
Created at: May 3, 2026, 4:01 p.m.