Triple

T10696043
Position Surface form Disambiguated ID Type / Status
Subject Terneuzen E252140 entity
Predicate hasSubdivision P747 FINISHED
Object Hoek E640041 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 | Statement: [Terneuzen, hasSubdivision, Hoek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoek
Context triple: [Terneuzen, hasSubdivision, Hoek]
  • A. Hoeksche Waard
    Hoeksche Waard is a rural island and municipality in South Holland, Netherlands, known for its agricultural landscape and small towns.
  • B. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • C. Noorderhaaks
    Noorderhaaks is a small, uninhabited sandbar island off the Dutch coast, forming the westernmost part of the West Frisian Islands archipelago.
  • D. Hansweert chosen
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Honselersdijk
    Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3af5248190ab807965255e9ad2 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1658e03a8819098ea2ac2f818a61a completed April 29, 2026, 1:57 a.m.
Created at: April 8, 2026, 9:11 p.m.