Triple

T6671948
Position Surface form Disambiguated ID Type / Status
Subject Meppel E151750 entity
Predicate hasDistrict P459 FINISHED
Object Haveltermade
Haveltermade is a residential district of the Dutch city of Meppel in the province of Drenthe.
 E610369 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: Haveltermade | Statement: [Meppel, hasDistrict, Haveltermade]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haveltermade
Context triple: [Meppel, hasDistrict, Haveltermade]
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Havel
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • C. Hácha
    Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
  • D. Hašek
    Hašek is a Czech surname most famously associated with Dominik Hašek, the legendary NHL goaltender and Hockey Hall of Famer.
  • E. Nelahozeves
    Nelahozeves is a historic village in the Czech Republic best known as the birthplace of composer Antonín Dvořák.
  • 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: Haveltermade
Triple: [Meppel, hasDistrict, Haveltermade]
Generated description
Haveltermade is a residential district of the Dutch city of Meppel in the province of Drenthe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haveltermade
Target entity description: Haveltermade is a residential district of the Dutch city of Meppel in the province of Drenthe.
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Havel
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • C. Hácha
    Hácha is a Czech surname most notably borne by Emil Hácha, the third President of Czechoslovakia who served during the early years of World War II.
  • D. Hašek
    Hašek is a Czech surname most famously associated with Dominik Hašek, the legendary NHL goaltender and Hockey Hall of Famer.
  • E. Nelahozeves
    Nelahozeves is a historic village in the Czech Republic best known as the birthplace of composer Antonín Dvořák.
  • 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.