Triple

T10520758
Position Surface form Disambiguated ID Type / Status
Subject Gilze en Rijen E248162 entity
Predicate neighboringMunicipality P17964 FINISHED
Object Alphen-Chaam
Alphen-Chaam is a rural municipality in the southern Netherlands, known for its forests, agricultural landscape, and proximity to the Belgian border.
E912241 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: Alphen-Chaam | Statement: [Gilze en Rijen, neighboringMunicipality, Alphen-Chaam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alphen-Chaam
Context triple: [Gilze en Rijen, neighboringMunicipality, Alphen-Chaam]
  • A. Alphen
    Alphen is a village in the southern Netherlands that historically formed part of the Baronie of Breda in the province of North Brabant.
  • B. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • C. Schoonhoven
    Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
  • D. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • E. Voorhout
    Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
  • 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: Alphen-Chaam
Triple: [Gilze en Rijen, neighboringMunicipality, Alphen-Chaam]
Generated description
Alphen-Chaam is a rural municipality in the southern Netherlands, known for its forests, agricultural landscape, and proximity to the Belgian border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Alphen-Chaam
Target entity description: Alphen-Chaam is a rural municipality in the southern Netherlands, known for its forests, agricultural landscape, and proximity to the Belgian border.
  • A. Alphen
    Alphen is a village in the southern Netherlands that historically formed part of the Baronie of Breda in the province of North Brabant.
  • B. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • C. Schoonhoven
    Schoonhoven is a historic Dutch town in South Holland, renowned for its silver craftsmanship and picturesque riverside setting.
  • D. Nieuwendijk
    Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
  • E. Voorhout
    Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509dec25881909bc748640f26a416 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4aca16a10819097bb8655c8c1a36d completed April 19, 2026, 10:21 a.m.
NEDg Description generation batch_69e4afa531e0819097587675198bb8a1 completed April 19, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_69e4b1f68c8c819096d58ac02d76ec0d completed April 19, 2026, 10:44 a.m.
Created at: April 6, 2026, 12:28 p.m.