Triple

T13368561
Position Surface form Disambiguated ID Type / Status
Subject Henares valley E319002 entity
Predicate crossedBy P416 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: [Henares valley, crossedBy, Autovía A-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Autovía A-2
Context triple: [Henares valley, crossedBy, 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd79184819088948cd38d10a4a5 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.