Triple

T6155303
Position Surface form Disambiguated ID Type / Status
Subject Drimmelen E137305 entity
Predicate hasPart P35 FINISHED
Object Terheijden
Terheijden is a village in the Dutch province of North Brabant, known for its rural character and location near the town of Breda.
 E572767 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: Terheijden | Statement: [Drimmelen, hasPart, Terheijden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Terheijden
Context triple: [Drimmelen, hasPart, Terheijden]
  • A. Herwijnen
    Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
  • B. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • C. Enneüs Heerma
    Enneüs Heerma was a Dutch politician who served as a prominent leader of the Christian Democratic Appeal (CDA) and held several key government positions in the Netherlands.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Hanzelijn
    Hanzelijn is a Dutch railway line connecting Lelystad and Zwolle, designed to shorten travel times between the Randstad and the northern Netherlands and partially built for higher-speed services.
  • 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: Terheijden
Triple: [Drimmelen, hasPart, Terheijden]
Generated description
Terheijden is a village in the Dutch province of North Brabant, known for its rural character and location near the town of Breda.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Terheijden
Target entity description: Terheijden is a village in the Dutch province of North Brabant, known for its rural character and location near the town of Breda.
  • A. Herwijnen
    Herwijnen is a village in the Dutch province of Gelderland, known as a small rural community along the River Waal.
  • B. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • C. Enneüs Heerma
    Enneüs Heerma was a Dutch politician who served as a prominent leader of the Christian Democratic Appeal (CDA) and held several key government positions in the Netherlands.
  • D. Heenweg
    Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
  • E. Hanzelijn
    Hanzelijn is a Dutch railway line connecting Lelystad and Zwolle, designed to shorten travel times between the Randstad and the northern Netherlands and partially built for higher-speed services.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d01ddb0819085b5f5338b86a25d completed March 22, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1418195d8819092743f323430b9a8 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c144696f80819092131e86a3bb3b63 completed March 23, 2026, 1:47 p.m.
NED2 Entity disambiguation (via description) batch_69c144c523c48190a709342dc031d2b8 completed March 23, 2026, 1:48 p.m.
Created at: March 22, 2026, 4:17 p.m.