Triple

T20974656
Position Surface form Disambiguated ID Type / Status
Subject Amsterdam Muiderpoort railway station E516592 entity
Predicate connectsTo P845 FINISHED
Object Diemen 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: Diemen | Statement: [Amsterdam Muiderpoort railway station, connectsTo, Diemen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diemen
Context triple: [Amsterdam Muiderpoort railway station, connectsTo, Diemen]
  • A. Diemen chosen
    Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
  • B. Volendam
    Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
  • C. Eemhaven
    Eemhaven is a major container and short-sea shipping terminal area within the Port of Rotterdam in the Netherlands.
  • D. Lessines
    Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
  • E. Onderdendam
    Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba307d88190b728544d1b6d0bb6 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:46 p.m.