Triple

T10043394
Position Surface form Disambiguated ID Type / Status
Subject Coesfeld E205349 entity
Predicate hasTwinTown P919 FINISHED
Object Deurne
Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
E980672 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: Deurne | Statement: [Coesfeld, hasTwinTown, Deurne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deurne
Context triple: [Coesfeld, hasTwinTown, Deurne]
  • A. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. 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.
  • D. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • E. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • 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: Deurne
Triple: [Coesfeld, hasTwinTown, Deurne]
Generated description
Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deurne
Target entity description: Deurne is a municipality in the Dutch province of North Brabant, known for its rural character and historic peat extraction areas.
  • A. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • B. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • C. 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.
  • D. Eeklo
    Eeklo is a small city and municipality in northwestern Belgium known for its historic town center and location in the Flemish region.
  • E. Heemstede
    Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf60a2208190846e57b5f5649307 completed April 2, 2026, 2:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f63449892881909d361815cbfcdee5 completed May 2, 2026, 5:28 p.m.
NEDg Description generation batch_69f635997b088190b6207fcac5594eb2 completed May 2, 2026, 5:34 p.m.
NED2 Entity disambiguation (via description) batch_69f636d727a08190882eec3fd664b64d completed May 2, 2026, 5:39 p.m.
Created at: March 30, 2026, 8:55 p.m.