Triple

T19655302
Position Surface form Disambiguated ID Type / Status
Subject Autovía A-1 E471922 entity
Predicate hasJunctionWith P1018 FINISHED
Object Autovía A-3 — NE NERFINISHED

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: Autovía A-3 | Statement: [Autovía A-1, hasJunctionWith, Autovía A-3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autovía A-3
Context triple: [Autovía A-1, hasJunctionWith, Autovía A-3]
  • A. Autovía A-3 chosen
    Autovía A-3 is a major Spanish motorway that links Madrid with Valencia, forming a key part of the country’s radial highway network.
  • B. Autovía A-2
    Autovía A-2 is a major Spanish motorway that forms part of the route between Madrid and Barcelona, facilitating one of the country’s primary east–west transport corridors.
  • C. Autovía A-5
    Autovía A-5 is a major Spanish motorway that forms part of the route from Madrid toward the Portuguese border, facilitating high-capacity westward traffic from the capital.
  • D. Autovía A-4
    Autovía A-4 is a major Spanish motorway that forms part of the main route connecting Madrid with the southern region of Andalusia, including cities such as Córdoba and Seville.
  • E. Autovía A-7
    Autovía A-7 is a major Spanish Mediterranean coastal motorway that runs along the southern and eastern coasts, connecting numerous cities and tourist destinations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641452ac481908d5493506ee96516 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.