Triple

T10707864
Position Surface form Disambiguated ID Type / Status
Subject Braassemermeer E252452 entity
Predicate hasNearbyInfrastructure P231 FINISHED
Object A4 motorway E335463 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: A4 motorway | Statement: [Braassemermeer, hasNearbyInfrastructure, A4 motorway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A4 motorway
Context triple: [Braassemermeer, hasNearbyInfrastructure, A4 motorway]
  • A. A4 motorway chosen
    The A4 motorway is a major Dutch highway that connects key cities including Amsterdam, The Hague, and Rotterdam, forming part of the European route network.
  • B. A4 motorway
    The A4 motorway is a major Italian highway running across northern Italy, connecting key cities such as Turin, Milan, Verona, Vicenza, and Venice.
  • C. 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.
  • D. 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.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fde080d48190830eaa863aad61ff completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce593bbc8190827ca217f43140b9 completed May 3, 2026, 10:38 p.m.
Created at: April 8, 2026, 9:13 p.m.