Triple

T9488279
Position Surface form Disambiguated ID Type / Status
Subject Fresnes E228817 entity
Predicate hasTransportConnection P845 FINISHED
Object A6 autoroute E254089 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: A6 autoroute | Statement: [Fresnes, hasTransportConnection, A6 autoroute]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A6 autoroute
Context triple: [Fresnes, hasTransportConnection, A6 autoroute]
  • A. Autoroute A6 chosen
    Autoroute A6 is a major French motorway linking Paris to Lyon and serving as a key segment of the primary north–south route through France.
  • B. A86 autoroute
    The A86 autoroute is a major ring road around Paris, France, designed to relieve congestion on the city’s inner highways by linking numerous suburbs and key transport hubs.
  • C. A12 autoroute
    The A12 autoroute is a short French motorway in the Île-de-France region that connects the A13 to the N10, helping link Paris to the southwestern suburbs and beyond.
  • D. A15 autoroute
    The A15 autoroute is a French motorway serving as a key link between Paris and the northwestern suburbs, helping to connect the capital with the broader Île-de-France region.
  • E. A14 autoroute
    The A14 autoroute is a French motorway serving as a key western approach into Paris, helping to connect the capital with the A13 and the La Défense business district.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d18fd908190b562fa0a8dad7c63 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.