Triple

T16995486
Position Surface form Disambiguated ID Type / Status
Subject Autovía M-50 E412302 entity
Predicate connectsTo P845 FINISHED
Object Autovía A-2 E559412 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: Autovía A-2 | Statement: [Autovía M-50, connectsTo, Autovía A-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autovía A-2
Context triple: [Autovía M-50, connectsTo, Autovía A-2]
  • A. Autovía A-2 chosen
    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.
  • B. 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.
  • C. Autovía A-6
    Autovía A-6 is a major Spanish motorway that forms part of the main road corridor linking Madrid with the northwest of the Iberian Peninsula.
  • D. 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.
  • E. Autovía A-15
    Autovía A-15 is a major Spanish motorway that connects the northern city of San Sebastián with inland regions, facilitating transport through Navarre and Castile and León.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d2879af081909665f9f838bcfbe7 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b433e688190ac8dda10638a197f completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:32 a.m.