Triple

T10311984
Position Surface form Disambiguated ID Type / Status
Subject A6 motorway (France) E241913 entity
Predicate belongsToNetwork P2830 FINISHED
Object APRR network 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 network | Statement: [A6 motorway (France), belongsToNetwork, APRR network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APRR network
Context triple: [A6 motorway (France), belongsToNetwork, APRR network]
  • 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. the APC Net
    The APC Net is a vast, multidimensional Gallifreyan data network used by the Time Lords to store, access, and manipulate information across time and space.
  • D. AVE network
    The AVE network is Spain’s high-speed rail system that connects major cities across the country with fast, long-distance train services.
  • E. APN
    APN is the acronym for Argentina’s National Parks Administration, the federal agency responsible for managing and protecting the country’s national parks and natural reserves.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32b85288190a11e09a0ab80d66c completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d801978819097293b5c98350fef completed April 9, 2026, 3:31 a.m.
Created at: April 6, 2026, 11:48 a.m.