Triple

T5776927
Position Surface form Disambiguated ID Type / Status
Subject Herwijnen E127465 entity
Predicate locatedNear P294 FINISHED
Object Heukelum
Heukelum is a small historic town in the Dutch province of Gelderland, situated along the river Linge and known for its picturesque old center and surrounding countryside.
E562826 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: Heukelum | Statement: [Herwijnen, locatedNear, Heukelum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heukelum
Context triple: [Herwijnen, locatedNear, Heukelum]
  • A. Biessum
    Biessum is a small village in the province of Groningen in the Netherlands, now part of the municipality of Eemsdelta.
  • B. Lelystad
    Lelystad is a planned city in the Dutch province of Flevoland, known for being one of the largest land reclamation projects in the world and the capital of the province.
  • C. Leusden
    Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
  • D. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • E. Wessum
    Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
  • 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: Heukelum
Triple: [Herwijnen, locatedNear, Heukelum]
Generated description
Heukelum is a small historic town in the Dutch province of Gelderland, situated along the river Linge and known for its picturesque old center and surrounding countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Heukelum
Target entity description: Heukelum is a small historic town in the Dutch province of Gelderland, situated along the river Linge and known for its picturesque old center and surrounding countryside.
  • A. Biessum
    Biessum is a small village in the province of Groningen in the Netherlands, now part of the municipality of Eemsdelta.
  • B. Lelystad
    Lelystad is a planned city in the Dutch province of Flevoland, known for being one of the largest land reclamation projects in the world and the capital of the province.
  • C. Leusden
    Leusden is a Dutch town and municipality in the central Netherlands, known for its green residential character and proximity to the city of Amersfoort.
  • D. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • E. Wessum
    Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029dfccdc8190bed937f493e42aed completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c107dc9a2481908474defa2c849595 completed March 23, 2026, 9:29 a.m.
NEDg Description generation batch_69c1090a7bac8190b5b9e003659b4b34 completed March 23, 2026, 9:34 a.m.
NED2 Entity disambiguation (via description) batch_69c10d5102348190a9ec7421b1410a99 completed March 23, 2026, 9:52 a.m.
Created at: March 22, 2026, 3:50 p.m.