Triple

T4945562
Position Surface form Disambiguated ID Type / Status
Subject Baarn E111040 entity
Predicate hasPart P35 FINISHED
Object Eembrugge
Eembrugge is a small hamlet in the Dutch province of Utrecht, known for its rural character and location near the River Eem.
 E506970 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: Eembrugge | Statement: [Baarn, hasPart, Eembrugge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eembrugge
Context triple: [Baarn, hasPart, Eembrugge]
  • A. Woubrugge
    Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
  • B. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • C. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • D. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • E. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • 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: Eembrugge
Triple: [Baarn, hasPart, Eembrugge]
Generated description
Eembrugge is a small hamlet in the Dutch province of Utrecht, known for its rural character and location near the River Eem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eembrugge
Target entity description: Eembrugge is a small hamlet in the Dutch province of Utrecht, known for its rural character and location near the River Eem.
  • A. Woubrugge
    Woubrugge is a village in the Dutch province of South Holland, known for its location along waterways and its traditional rural character.
  • B. Merelbeke
    Merelbeke is a municipality in East Flanders, Belgium, known in part for hosting Ghent University's Faculty of Veterinary Medicine.
  • C. Veurne
    Veurne is a historic town in western Belgium known for its well-preserved medieval center and Flemish Renaissance architecture.
  • D. Merode
    Merode is a key Brussels Metro station serving as an important interchange point near the Parc du Cinquantenaire in eastern Brussels.
  • E. Cureghem
    Cureghem is a historically working-class, multicultural neighborhood in the Brussels municipality of Anderlecht, known for its dense urban fabric and industrial heritage.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe46b4d081908597c79135415909 completed March 21, 2026, 8:23 p.m.
NEDg Description generation batch_69beff0dda548190831d34282afa9b8e completed March 21, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_69beff6890f4819088cb053bcdb4f8a1 completed March 21, 2026, 8:28 p.m.
Created at: March 20, 2026, 1:31 p.m.