Triple

T17169574
Position Surface form Disambiguated ID Type / Status
Subject APRA E416693 entity
Predicate shortName P43 FINISHED
Object APRA E416693 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: APRA | Statement: [APRA, shortName, APRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APRA
Context triple: [APRA, shortName, APRA]
  • A. APRA chosen
    APRA is a Peruvian political party historically associated with social democracy, anti-imperialism, and the leadership of Víctor Raúl Haya de la Torre.
  • B. APAS
    APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
  • C. APRU
    APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
  • D. APSA
    APSA is the Vatican office responsible for managing the Holy See’s financial and real estate assets.
  • E. APSA
    APSA is the African Union’s overarching framework for preventing, managing, and resolving conflicts and promoting peace and security across the African continent.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f91831d88190b262227fc41c9067 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a015fc83984819098c98b75cf021e3a completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.