Triple

T3776123
Position Surface form Disambiguated ID Type / Status
Subject Seville Airport E83311 entity
Predicate connectsVia P845 FINISHED
Object A-4 motorway E396379 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: A-4 motorway | Statement: [Seville Airport, connectsVia, A-4 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-4 motorway
Context triple: [Seville Airport, connectsVia, A-4 motorway]
  • A. A-4 motorway chosen
    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.
  • B. A-49 motorway
    The A-49 motorway is a German autobahn in the state of Hesse that links the city of Kassel with the Schwalm-Eder region and is planned to be extended further south.
  • C. A4 motorway
    The A4 motorway is a major German autobahn running east–west across central Germany, connecting cities such as Aachen, Cologne, Erfurt, Jena, and Dresden.
  • D. A4 motorway
    The A4 motorway is a major French highway connecting Paris to the eastern regions of France and onward toward Germany, serving as a key commuter and long-distance route.
  • E. A4 motorway
    The A4 motorway is a major Portuguese highway that connects Porto to the country’s northeastern interior, improving access to regions such as Vila Real and Bragança.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfe6131cd481909bbd9eb896258c68 completed March 22, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:36 p.m.