Triple

T12527387
Position Surface form Disambiguated ID Type / Status
Subject Inter-Parliamentary Union E299473 entity
Predicate hasOrgan P35 FINISHED
Object Assembly E299475 NE 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: Assembly | Statement: [Inter-Parliamentary Union, hasOrgan, Assembly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Assembly
Context triple: [Inter-Parliamentary Union, hasOrgan, Assembly]
  • A. Assembly
    Assembly is the principal decision-making body of the African Union, composed of heads of state and government from its member countries.
  • B. Assembly
    The Assembly is the highest governing body of the World Council of Churches, where its member churches gather periodically to set policies, elect leadership, and discern common directions for the ecumenical movement.
  • C. Assembly chosen
    The Assembly is the main deliberative body of the Inter-Parliamentary Union, where parliamentarians from member countries meet to debate global issues and adopt resolutions.
  • D. Assembler
    Assembler is a low-level programming language used on IBM mainframe systems like z/OS for writing highly efficient, hardware-near system and application code.
  • E. Assembly language
    Assembly language is a low-level programming language that uses human-readable mnemonics to represent machine instructions specific to a computer architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.