Triple

T1468740
Position Surface form Disambiguated ID Type / Status
Subject Hollandsche IJssel E27084 entity
Predicate flowsThrough P225 FINISHED
Object Montfoort
Montfoort is a small historic town in the Dutch province of Utrecht, known for its medieval center and riverside setting.
E525291 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: Montfoort | Statement: [Hollandsche IJssel, flowsThrough, Montfoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montfoort
Context triple: [Hollandsche IJssel, flowsThrough, Montfoort]
  • A. Rijkevoort
    Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
  • B. Zutphen
    Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • 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: Montfoort
Triple: [Hollandsche IJssel, flowsThrough, Montfoort]
Generated description
Montfoort is a small historic town in the Dutch province of Utrecht, known for its medieval center and riverside setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Montfoort
Target entity description: Montfoort is a small historic town in the Dutch province of Utrecht, known for its medieval center and riverside setting.
  • A. Rijkevoort
    Rijkevoort is a village in the Dutch province of North Brabant, known for its rural character and location near the German border.
  • B. Zutphen
    Zutphen is a historic city in the eastern Netherlands known for its well-preserved medieval center and location along the river IJssel.
  • C. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • D. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • E. Sassenheim
    Sassenheim is a town in the Dutch province of South Holland, known historically for its bulb-growing industry and location within the Duin- en Bollenstreek (Dune and Bulb Region).
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5d8bb68819095b7b413247ad657 completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf88d99da08190996996079b947498 completed March 22, 2026, 6:14 a.m.
NEDg Description generation batch_69bf894ab574819099d492e61647002a completed March 22, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69bf89e673e0819095e1ed3e45c27ac7 completed March 22, 2026, 6:19 a.m.
Created at: March 1, 2026, 8:01 p.m.