Triple

T10150664
Position Surface form Disambiguated ID Type / Status
Subject Maasdijk E232627 entity
Predicate locatedNear P294 FINISHED
Object Hoek van Holland E89149 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: Hoek van Holland | Statement: [Maasdijk, locatedNear, Hoek van Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoek van Holland
Context triple: [Maasdijk, locatedNear, Hoek van Holland]
  • A. Hoek van Holland chosen
    Hoek van Holland is a coastal town in the Netherlands known for its North Sea beaches and its strategic location at the mouth of the New Waterway shipping canal.
  • B. Hoeksche Waard
    Hoeksche Waard is a rural island and municipality in South Holland, Netherlands, known for its agricultural landscape and small towns.
  • C. 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.
  • D. Gelderland, Netherlands
    Gelderland is the largest province in the Netherlands, located in the eastern part of the country and known for its varied landscapes, including the Veluwe forests and river valleys.
  • E. Zeeland
    Zeeland is a coastal province in the southwest of the Netherlands, known for its islands, peninsulas, and extensive dike and flood defense systems.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d979d64a5481909be6d6bd1d8b6433 completed April 10, 2026, 10:29 p.m.
Created at: March 30, 2026, 9:08 p.m.