Triple

T14903747
Position Surface form Disambiguated ID Type / Status
Subject Torrent E360072 entity
Predicate hasRoadConnection P385 FINISHED
Object A-7 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-7 motorway | Statement: [Torrent, hasRoadConnection, A-7 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-7 motorway
Context triple: [Torrent, hasRoadConnection, A-7 motorway]
  • A. A-7 motorway chosen
    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.
  • B. A-43 motorway
    The A-43 motorway is a major Spanish highway that crosses central Spain, linking the regions of Extremadura, Castile-La Mancha, and Valencia to improve east–west connectivity.
  • C. 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.
  • D. A-6 motorway
    The A-6 motorway is a major Spanish highway that connects Madrid with the northwest of the country, including cities such as A Coruña.
  • E. A52 motorway
    The A52 motorway is a major German autobahn in North Rhine-Westphalia that links cities in the Rhine-Ruhr metropolitan region and serves as an important commuter and transit route.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
Created at: April 10, 2026, 2:12 a.m.