Triple

T4045499
Position Surface form Disambiguated ID Type / Status
Subject Heumen E84055 entity
Predicate hasSettlement P1068 FINISHED
Object Nederasselt
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
E627915 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: Nederasselt | Statement: [Heumen, hasSettlement, Nederasselt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nederasselt
Context triple: [Heumen, hasSettlement, Nederasselt]
  • A. Nissewaard
    Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • B. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • 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. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • 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: Nederasselt
Triple: [Heumen, hasSettlement, Nederasselt]
Generated description
Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nederasselt
Target entity description: Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
  • A. Nissewaard
    Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
  • B. Yerseke
    Yerseke is a Dutch village in the province of Zeeland, best known for its mussel and oyster farming along the Eastern Scheldt.
  • 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. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • 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_69aed930bd5c819083e7dcc14fc44f69 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb5f85d48190ba80a0a24fbe438a completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74872582c81908c64a9bf925f67c6 completed March 28, 2026, 3:18 a.m.
NEDg Description generation batch_69c74aa66e5481909d3c08289d1e86b4 completed March 28, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69c74b50fe148190b527c5b625e701bc completed March 28, 2026, 3:30 a.m.
Created at: March 9, 2026, 3:37 p.m.