Triple

T14314381
Position Surface form Disambiguated ID Type / Status
Subject Majadahonda E354915 entity
Predicate roadConnection P385 FINISHED
Object A-6 motorway 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: A-6 motorway | Statement: [Majadahonda, roadConnection, A-6 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-6 motorway
Context triple: [Majadahonda, roadConnection, A-6 motorway]
  • A. A-6 motorway chosen
    The A-6 motorway is a major Spanish highway that connects Madrid with the northwest of the country, including cities such as A Coruña.
  • B. A-3 motorway
    The A-3 motorway is a major Spanish highway that connects Madrid with the eastern coastal city of Valencia, forming a key route between the capital and the Mediterranean.
  • C. A-7 motorway
    The A-7 motorway is a major Spanish coastal highway running along much of the Mediterranean shoreline, connecting key cities and regions in southern and eastern Spain.
  • D. A-5 motorway
    The A-5 motorway is a major Spanish highway that connects Madrid with the western regions of Spain and extends toward the Portuguese border.
  • E. A-4 motorway
    The A-4 motorway is a major Spanish highway that connects Madrid with the southern region of Andalusia, serving as a key route to cities like Córdoba and Seville.
  • 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_69d8278ed42c8190b9f882dcce611347 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de85b49e5481909b9ffab2d922e284 completed April 14, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:12 a.m.