Triple

T18782687
Position Surface form Disambiguated ID Type / Status
Subject Hartelkanaal E459296 entity
Predicate near P350 FINISHED
Object Botlek 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: Botlek | Statement: [Hartelkanaal, near, Botlek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Botlek
Context triple: [Hartelkanaal, near, Botlek]
  • A. Botlek chosen
    Botlek is an industrial and petrochemical port area within the Port of Rotterdam, known for its large-scale chemical plants, storage terminals, and logistics facilities.
  • B. Botlektunnel
    The Botlektunnel is a major Dutch road tunnel near Rotterdam that carries traffic beneath the Nieuwe Maas river as part of the busy A15 corridor in the Port of Rotterdam area.
  • C. Baketalun
    Baketalun was an ancient Egyptian queen consort of the 20th Dynasty pharaoh Ramesses IX.
  • D. Burgstaaken
    Burgstaaken is a small harbour district and marina area on the island of Fehmarn in northern Germany, known for its fishing, tourism, and maritime activities.
  • E. Basteri
    Basteri is a Spanish-origin surname most notably associated with the family of Mexican singer Luis Miguel.
  • 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5977d7c5c8190ab2aadb47283965d completed April 20, 2026, 3:03 a.m.
Created at: April 10, 2026, 11:52 a.m.