Triple

T12385884
Position Surface form Disambiguated ID Type / Status
Subject Vierzon E295861 entity
Predicate roadConnection P385 FINISHED
Object A71 motorway E919941 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: A71 motorway | Statement: [Vierzon, roadConnection, A71 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A71 motorway
Context triple: [Vierzon, roadConnection, A71 motorway]
  • A. A71 motorway chosen
    The A71 motorway is a major French autoroute running through central France, linking Orléans to Clermont-Ferrand and forming part of a key north–south route.
  • B. A75 motorway
    The A75 motorway is a major French highway running through central and southern France, known for connecting Clermont-Ferrand to Béziers and featuring the iconic Millau Viaduct.
  • C. A73 motorway
    The A73 motorway is a major Dutch highway in the southeastern Netherlands that connects several cities and regions, including the area around Heumen.
  • D. A73 motorway
    The A73 motorway is a major German autobahn that runs through Bavaria and Thuringia, linking cities such as Nuremberg, Erlangen, Bamberg, and Suhl.
  • E. A77 motorway
    The A77 motorway is a major French highway in central France that connects the Paris region to Nevers and continues toward the Massif Central.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbd489c819098233a111442762e completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0035428e608190b8bb41dabda044d1 completed May 10, 2026, 7:35 a.m.
Created at: April 8, 2026, 9:54 p.m.