Triple

T35005841
Position Surface form Disambiguated ID Type / Status
Subject Constitutional offices of Pakistan E1009806 entity
Predicate hasBranchCoverage P185989 FINISHED
Object executive branch of 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: executive branch of Pakistan | Statement: [Constitutional offices of Pakistan, hasBranchCoverage, executive branch of Pakistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBranchCoverage
Context triple: [Constitutional offices of Pakistan, hasBranchCoverage, executive branch of Pakistan]
  • A. branchCoverage
    Indicates that one entity measures or represents how many decision branches in another entity’s control flow have been executed during testing.
  • B. componentCoverage
    Indicates that one entity provides coverage, protection, or support for another as one of its components or constituent parts.
  • C. hasCoverage
    Indicates that one entity provides insurance or protection coverage for another entity or subject.
  • D. hasBranchName
    Indicates that an entity (such as a branch or subdivision) bears or is identified by a specific branch name.
  • E. hasBranches
    Indicates that an entity extends into multiple subordinate parts or offshoots, like limbs, divisions, or sections stemming from a main source.
  • 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_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: May 3, 2026, 4:01 p.m.