Triple

T21094175
Position Surface form Disambiguated ID Type / Status
Subject Wijk bij Duurstede E519716 entity
Predicate hasPart P35 FINISHED
Object Langbroek 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: Langbroek | Statement: [Wijk bij Duurstede, hasPart, Langbroek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Langbroek
Context triple: [Wijk bij Duurstede, hasPart, Langbroek]
  • A. Langbroek chosen
    Langbroek is a village in the Dutch province of Utrecht, known for its historic estates and rural character within the municipality of Wijk bij Duurstede.
  • B. Zutendaal
    Zutendaal is a small municipality in the Belgian province of Limburg, known for its forests, nature reserves, and role as a gateway to the Hoge Kempen National Park.
  • C. Hoedspruit
    Hoedspruit is a small South African town near Kruger National Park, known as a gateway to wildlife reserves and scenic Lowveld attractions.
  • D. Blauwestad
    Blauwestad is a modern lakeside residential and recreational area in the Dutch province of Groningen, developed around the artificial lake Oldambtmeer.
  • E. Groblershoop
    Groblershoop is a small town in South Africa’s Northern Cape province, known as an agricultural center in the Orange River wine and grape-growing region.
  • 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_69e0b507dd9081908fb8bfcbef4c8b46 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e709517a18819081ede1d38e2c4391 completed April 21, 2026, 5:21 a.m.
Created at: April 16, 2026, 2:51 p.m.