Triple

T6860072
Position Surface form Disambiguated ID Type / Status
Subject Noordenveld E158251 entity
Predicate hasNotablePlace P10233 FINISHED
Object esdorp Norg
Esdorp Norg is a traditional Dutch village in the province of Drenthe, known for its historic rural layout and characteristic green village center.
E624566 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: esdorp Norg | Statement: [Noordenveld, hasNotablePlace, esdorp Norg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: esdorp Norg
Context triple: [Noordenveld, hasNotablePlace, esdorp Norg]
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Wassenaar
    Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
  • C. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • D. Ekeren
    Ekeren is a northern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • E. Sloterdijk
    Sloterdijk is a major transport hub in western Amsterdam that serves as an important interchange for trains, metro, trams, and buses.
  • 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: esdorp Norg
Triple: [Noordenveld, hasNotablePlace, esdorp Norg]
Generated description
Esdorp Norg is a traditional Dutch village in the province of Drenthe, known for its historic rural layout and characteristic green village center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: esdorp Norg
Target entity description: Esdorp Norg is a traditional Dutch village in the province of Drenthe, known for its historic rural layout and characteristic green village center.
  • A. Nork
    Nork is a suburban residential area within the borough of Reigate and Banstead in Surrey, England.
  • B. Wassenaar
    Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
  • C. Noorden
    Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
  • D. Ekeren
    Ekeren is a northern district of the Belgian city of Antwerp, known for its residential character and green spaces.
  • E. Sloterdijk
    Sloterdijk is a major transport hub in western Amsterdam that serves as an important interchange for trains, metro, trams, and buses.
  • 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_69c68830cdbc8190a8301c7a9d9f651a completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8737fac81909fc546ca2bf6a278 completed March 27, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fe79af081909baacbfd4d5e8f24 completed March 28, 2026, 1:33 a.m.
NEDg Description generation batch_69c7399b95e081908bbee3a598d6513c completed March 28, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c739f1b20c8190a8ef57357d4956b4 completed March 28, 2026, 2:16 a.m.
Created at: March 27, 2026, 2:21 p.m.