Triple

T10375982
Position Surface form Disambiguated ID Type / Status
Subject APRR E244508 entity
Predicate shortName P43 FINISHED
Object APRR E244508 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: APRR | Statement: [APRR, shortName, APRR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APRR
Context triple: [APRR, shortName, APRR]
  • A. APRR chosen
    APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
  • B. 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.
  • C. APRIN
    APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
  • D. APRALO
    APRALO is the Asia Pacific Regional At-Large Organization within ICANN that represents and coordinates the interests of individual Internet users in the Asia-Pacific region.
  • E. APAS
    APAS is a type of androgynous docking mechanism developed for spacecraft to enable compatible, flexible docking between different vehicles.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e98278e08190a4d3ff88b4039e49 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795754570819093747f80e32fffce completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:02 p.m.