Triple

T13715225
Position Surface form Disambiguated ID Type / Status
Subject Buren E328878 entity
Predicate municipalityIncludes P84684 FINISHED
Object Eck en Wiel
Eck en Wiel is a village in the Dutch province of Gelderland, situated along the river Rhine and known for its rural character and fruit-growing region.
E1058172 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: Eck en Wiel | Statement: [Buren, municipalityIncludes, Eck en Wiel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eck en Wiel
Context triple: [Buren, municipalityIncludes, Eck en Wiel]
  • A. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • B. Kromme Does
    Kromme Does is a small waterway in the Netherlands, known for flowing through the rural landscape near the village of Leimuiden in South Holland.
  • C. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Rust en Vreugd
    Rust en Vreugd is a historic Cape Dutch townhouse and garden in Cape Town, South Africa, renowned for its elegant 18th-century architecture and cultural heritage.
  • 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: Eck en Wiel
Triple: [Buren, municipalityIncludes, Eck en Wiel]
Generated description
Eck en Wiel is a village in the Dutch province of Gelderland, situated along the river Rhine and known for its rural character and fruit-growing region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Eck en Wiel
Target entity description: Eck en Wiel is a village in the Dutch province of Gelderland, situated along the river Rhine and known for its rural character and fruit-growing region.
  • A. Driewegen
    Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
  • B. Kromme Does
    Kromme Does is a small waterway in the Netherlands, known for flowing through the rural landscape near the village of Leimuiden in South Holland.
  • C. De Kwakel
    De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Rust en Vreugd
    Rust en Vreugd is a historic Cape Dutch townhouse and garden in Cape Town, South Africa, renowned for its elegant 18th-century architecture and cultural heritage.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5878948190a2aaab2ba31bd1ed completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e9e6ff88190b031fb1403cacabc completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7a2d6e7ec81908a4cbc324e793c24 completed May 3, 2026, 7:32 p.m.
Created at: April 9, 2026, 9:54 p.m.