Triple

T1121580
Position Surface form Disambiguated ID Type / Status
Subject Port of Vlissingen E24622 entity
Predicate serves P98 FINISHED
Object Zeeland region E13728 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: Zeeland region | Statement: [Port of Vlissingen, serves, Zeeland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zeeland region
Context triple: [Port of Vlissingen, serves, Zeeland region]
  • A. Zeeland chosen
    Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
  • B. Gelderland
    Gelderland is a large province in the eastern Netherlands known for its varied landscapes, including the forested Veluwe region and the river areas along the Rhine, Waal, and IJssel.
  • C. Flevoland
    Flevoland is the youngest Dutch province, largely created through land reclamation from the IJsselmeer in the central Netherlands.
  • D. West-Friesland
    West-Friesland is a historical region in the northwest of the Netherlands known for its distinctive cultural identity, traditional landscapes, and old trading towns.
  • E. North Holland
    North Holland is a province in the western Netherlands known for encompassing the national capital, Amsterdam, as well as historic towns and North Sea coastline.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbf71188190b82c8fff9d5ac01a completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0555c43348190a99f6d11031417b3 completed March 10, 2026, 5:31 p.m.
Created at: March 1, 2026, 7:44 p.m.