Triple

T4816415
Position Surface form Disambiguated ID Type / Status
Subject Oosterscheldekering E107598 entity
Predicate carries P1393 FINISHED
Object N57 road E173954 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: N57 road | Statement: [Oosterscheldekering, carries, N57 road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N57 road
Context triple: [Oosterscheldekering, carries, N57 road]
  • A. N57 road chosen
    The N57 road is a major Dutch highway running through the southwestern Netherlands, connecting several islands and coastal regions as part of the country’s primary road network.
  • B. N59 road
    The N59 road is a regional highway in the southwestern Netherlands that connects several islands in the province of Zeeland and South Holland.
  • C. N52 road
    The N52 road is a major French national route serving the Longwy area in northeastern France and connecting it to the wider regional road network.
  • D. N7 road
    The N7 road is a major French national highway that historically linked Paris to the south of France and served as a key route before the development of modern motorways.
  • E. N25 road
    The N25 road is a major national primary route in Ireland that runs along the south coast, linking Cork with Waterford and other key towns.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c947b18819086c3af556bb7591c completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67ce5808819093004d4ed42ed211 completed March 21, 2026, 9:41 a.m.
Created at: March 20, 2026, 1:23 p.m.