Triple

T6095005
Position Surface form Disambiguated ID Type / Status
Subject Helvoirt E135854 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Biezenmortel
Biezenmortel is a small village in the Dutch province of North Brabant, known for its rural character and proximity to larger towns like Tilburg and ’s-Hertogenbosch.
E642514 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: Biezenmortel | Statement: [Helvoirt, hasNearbySettlement, Biezenmortel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biezenmortel
Context triple: [Helvoirt, hasNearbySettlement, Biezenmortel]
  • A. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • D. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • E. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • 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: Biezenmortel
Triple: [Helvoirt, hasNearbySettlement, Biezenmortel]
Generated description
Biezenmortel is a small village in the Dutch province of North Brabant, known for its rural character and proximity to larger towns like Tilburg and ’s-Hertogenbosch.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biezenmortel
Target entity description: Biezenmortel is a small village in the Dutch province of North Brabant, known for its rural character and proximity to larger towns like Tilburg and ’s-Hertogenbosch.
  • A. Moortebeek
    Moortebeek is a residential district within the Brussels municipality of Anderlecht in Belgium.
  • B. Biezelinge
    Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
  • C. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • D. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • E. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a963bac8190bc0c33fef187875c completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c6a0fdc8190be37008d4f036e51 completed March 28, 2026, 9:16 a.m.
NEDg Description generation batch_69c79e48056081909eac95bf6ebdb209 completed March 28, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69c79f0b2a6c819091a2d72942f8f8c5 completed March 28, 2026, 9:27 a.m.
Created at: March 22, 2026, 4:12 p.m.