Triple

T4224597
Position Surface form Disambiguated ID Type / Status
Subject Stadskanaal E94423 entity
Predicate hasCanal P35 FINISHED
Object Stadskanaal E94423 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: Stadskanaal | Statement: [Stadskanaal, hasCanal, Stadskanaal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadskanaal
Context triple: [Stadskanaal, hasCanal, Stadskanaal]
  • A. Stadskanaal chosen
    Stadskanaal is a town and municipality in the northeast of the Netherlands known for its canal-based origins and location in a former peat-extraction area.
  • B. Maassluis
    Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
  • C. Oudeschild
    Oudeschild is a small fishing village and harbor on the Dutch island of Texel, known for its maritime heritage and coastal tourism.
  • D. Cuijk
    Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
  • E. Bodegraven
    Bodegraven is a town in the Dutch province of South Holland, known for its cheese production and location in the Green Heart region of the Netherlands.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4d32d481909df7b18f502945b8 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d32a1e1de88190a98ce4b6aea1a148 completed April 6, 2026, 3:35 a.m.
Created at: March 12, 2026, 11:04 p.m.