Triple

T22209362
Position Surface form Disambiguated ID Type / Status
Subject Krabbendijke railway station E548898 entity
Predicate connectsSettlement P8239 FINISHED
Object Krabbendijke 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: Krabbendijke | Statement: [Krabbendijke railway station, connectsSettlement, Krabbendijke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krabbendijke
Context triple: [Krabbendijke railway station, connectsSettlement, Krabbendijke]
  • A. Krabbendijke chosen
    Krabbendijke is a village in the Dutch province of Zeeland, known for its agricultural surroundings and location on the former island of Zuid-Beveland.
  • B. Krabbendam
    Krabbendam is a village in North Holland, Netherlands, historically noted as the site of the 1799 Battle of Krabbendam during the Anglo-Russian invasion.
  • C. De Baarsjes
    De Baarsjes is a residential neighborhood in Amsterdam, Netherlands, known for its diverse population, early 20th-century architecture, and canalside urban character.
  • D. Heijningen
    Heijningen is a small village in the Dutch province of North Brabant, located in the municipality of Moerdijk.
  • E. Kortenaken
    Kortenaken is a rural municipality in the Flemish Brabant province of Belgium, known for its agricultural landscape and small village communities.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.