Triple

T13103212
Position Surface form Disambiguated ID Type / Status
Subject De Ronde Venen E310770 entity
Predicate administrativeCenter P1474 FINISHED
Object Mijdrecht
Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
E1357635 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: Mijdrecht | Statement: [De Ronde Venen, administrativeCenter, Mijdrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mijdrecht
Context triple: [De Ronde Venen, administrativeCenter, Mijdrecht]
  • A. Loosdrecht
    Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • D. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Heemskerk
    Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
  • 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: Mijdrecht
Triple: [De Ronde Venen, administrativeCenter, Mijdrecht]
Generated description
Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mijdrecht
Target entity description: Mijdrecht is a town in the Dutch province of Utrecht known as the main population and service center of the municipality of De Ronde Venen.
  • A. Loosdrecht
    Loosdrecht is a Dutch village in the province of North Holland, best known for its scenic lakes and water sports tourism.
  • B. Zwijndrecht
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • C. Groesbeek
    Groesbeek is a village in the Dutch province of Gelderland, known for its hilly landscape, World War II history, and wine production.
  • D. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • E. Heemskerk
    Heemskerk is a town and municipality in North Holland in the Netherlands, known for its coastal dunes, historic estates, and residential character.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd78297481909812d1e38d946a87 completed May 14, 2026, 2:34 p.m.
NEDg Description generation batch_6a05dfcd85b08190b0ec431590396dbb completed May 14, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_6a05e09c58308190975c69c86482292a completed May 14, 2026, 2:47 p.m.
Created at: April 9, 2026, 9:04 p.m.