Triple

T5509564
Position Surface form Disambiguated ID Type / Status
Subject De Wolden E144528 entity
Predicate hasPart P35 FINISHED
Object Veeningen
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
E619451 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: Veeningen | Statement: [De Wolden, hasPart, Veeningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veeningen
Context triple: [De Wolden, hasPart, Veeningen]
  • A. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • D. La Hulpe
    La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
  • E. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • 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: Veeningen
Triple: [De Wolden, hasPart, Veeningen]
Generated description
Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Veeningen
Target entity description: Veeningen is a small village in the Dutch province of Drenthe, located within the municipality of De Wolden.
  • A. Geervliet
    Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Veenendaal
    Veenendaal is a Dutch town and municipality in the central Netherlands, known for its location between Utrecht and the Veluwe and its mix of residential, commercial, and light industrial areas.
  • D. La Hulpe
    La Hulpe is a small, affluent municipality in Walloon Brabant, Belgium, known for its green surroundings and the Château de La Hulpe within the Solvay Regional Estate.
  • E. Woudenberg
    Woudenberg is a small Dutch municipality and town located in the central Netherlands.
  • 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_69c008f6b5048190a09064116062cf69 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f4ba90c8190ad22e5de84c545f9 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a548f8081909e347a1c7cd4e9fc completed March 28, 2026, 12:01 a.m.
NEDg Description generation batch_69c71afc2e9081909bd633d353a2c487 completed March 28, 2026, 12:04 a.m.
NED2 Entity disambiguation (via description) batch_69c71b5b9b64819089aae86b0b52665c completed March 28, 2026, 12:05 a.m.
Created at: March 22, 2026, 3:33 p.m.