Triple

T5023113
Position Surface form Disambiguated ID Type / Status
Subject Aranjuez E112903 entity
Predicate roadConnectionVia P9041 FINISHED
Object Autovía A-4 E456409 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-4 | Statement: [Aranjuez, roadConnectionVia, Autovía A-4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Autovía A-4
Context triple: [Aranjuez, roadConnectionVia, Autovía A-4]
  • A. Autovía A-4 chosen
    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.
  • B. 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.
  • C. Autovía A-1
    Autovía A-1 is a major Spanish motorway that forms part of the route between Madrid and the northern regions of Spain, including the Basque Country.
  • D. Autovía M-50
    Autovía M-50 is a major ring road motorway encircling the outer area of Madrid, Spain, designed to facilitate high-capacity traffic flow and connect various suburbs and radial highways.
  • E. Autovía M-503
    Autovía M-503 is a Spanish motorway in the Community of Madrid that connects several western suburbs, including Majadahonda, with the capital’s road network.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73670578819099a56112950708a8 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9286bb28819095ca0ec858061419 completed March 21, 2026, 12:43 p.m.
Created at: March 20, 2026, 1:36 p.m.