Triple

T14186214
Position Surface form Disambiguated ID Type / Status
Subject municipality of Westland E351583 entity
Predicate containsSettlement P847 FINISHED
Object Heenweg E353551 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: Heenweg | Statement: [municipality of Westland, containsSettlement, Heenweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heenweg
Context triple: [municipality of Westland, containsSettlement, Heenweg]
  • A. Heenweg chosen
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • B. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • C. Sesswegen
    Sesswegen is a historical locality in present-day Latvia, known as the birthplace of the German Sturm und Drang writer Jakob Michael Reinhold Lenz.
  • D. De Meent
    De Meent is a central shopping center in the Dutch town of Papendrecht, offering a variety of retail stores and services.
  • E. Oud Verlaat
    Oud Verlaat is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders east of Rotterdam.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280861fc81908c342fc229a526f3 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:03 a.m.