Triple

T6671947
Position Surface form Disambiguated ID Type / Status
Subject Meppel E151750 entity
Predicate hasDistrict P459 FINISHED
Object Oosterboer
Oosterboer is a residential district of the city of Meppel in the province of Drenthe in the Netherlands.
 E610368 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: Oosterboer | Statement: [Meppel, hasDistrict, Oosterboer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oosterboer
Context triple: [Meppel, hasDistrict, Oosterboer]
  • A. Boschoord
    Boschoord is a small village in the Dutch province of Drenthe, known for its rural setting and surrounding natural landscapes.
  • B. Langeraar
    Langeraar is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • E. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • 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: Oosterboer
Triple: [Meppel, hasDistrict, Oosterboer]
Generated description
Oosterboer is a residential district of the city of Meppel in the province of Drenthe in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oosterboer
Target entity description: Oosterboer is a residential district of the city of Meppel in the province of Drenthe in the Netherlands.
  • A. Boschoord
    Boschoord is a small village in the Dutch province of Drenthe, known for its rural setting and surrounding natural landscapes.
  • B. Langeraar
    Langeraar is a village in the Dutch province of South Holland, located within the municipality of Nieuwkoop.
  • C. Van der Madeweg
    Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
  • D. Benschop
    Benschop is a small village in the Dutch province of Utrecht, known for its rural character and traditional polder landscape.
  • E. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • 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_69c687f71fc081909dbd45d6377f6045 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b0ca49f88190b9c8e0f641be0c3f completed March 27, 2026, 4:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef14b47c8190ac181f272025fb0d completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a498cc8190a0494082b91b012d completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f136ac648190b94a7cda43139fd0 completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:03 p.m.