Triple

T11844497
Position Surface form Disambiguated ID Type / Status
Subject Lodewijk E281737 entity
Predicate shortForm P43 FINISHED
Object Wijk
Wijk is a short form of the Dutch given name Lodewijk, commonly used as an informal or familiar variant.
E963782 NE FINISHED

How this triple was built (4 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: Wijk | Statement: [Lodewijk, shortForm, Wijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijk
Context triple: [Lodewijk, shortForm, Wijk]
  • A. Westwijk
    Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
  • B. De Wijk
    De Wijk is a village in the Dutch province of Drenthe, known for its historic buildings and rural character within the municipality of De Wolden.
  • C. Wijk bij Duurstede
    Wijk bij Duurstede is a historic Dutch town in the province of Utrecht, known for its medieval castle ruins, picturesque old center, and riverside setting.
  • D. Zuidwijk
    Zuidwijk is a neighborhood located within the IJsselmonde district of Rotterdam in the Netherlands.
  • E. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wijk
Triple: [Lodewijk, shortForm, Wijk]
Generated description
Wijk is a short form of the Dutch given name Lodewijk, commonly used as an informal or familiar variant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wijk
Target entity description: Wijk is a short form of the Dutch given name Lodewijk, commonly used as an informal or familiar variant.
  • A. Westwijk
    Westwijk is a residential district in Amstelveen, Netherlands, served as the southern terminus of Amsterdam’s former metro line 51.
  • B. De Wijk
    De Wijk is a village in the Dutch province of Drenthe, known for its historic buildings and rural character within the municipality of De Wolden.
  • C. Wijk bij Duurstede
    Wijk bij Duurstede is a historic Dutch town in the province of Utrecht, known for its medieval castle ruins, picturesque old center, and riverside setting.
  • D. Zuidwijk
    Zuidwijk is a neighborhood located within the IJsselmonde district of Rotterdam in the Netherlands.
  • E. Waalwijk
    Waalwijk is a town and municipality in the southern Netherlands known historically for its leather and shoe industry.
  • F. None of above. chosen

Provenance (5 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65b5ff08190bb58361f6a6acdca completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6366adc8190b5c8163af684afde completed May 2, 2026, 1:03 p.m.
NEDg Description generation batch_69f5fed2d57881908103ce89a365cdd4 completed May 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69f600bcaf288190b6204f985d3be638 completed May 2, 2026, 1:48 p.m.
Created at: April 8, 2026, 9:43 p.m.