Triple

T2241140
Position Surface form Disambiguated ID Type / Status
Subject Chivhu E49397 entity
Predicate formerName P65 FINISHED
Object Enkeldoorn
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
 E247758 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: Enkeldoorn | Statement: [Chivhu, formerName, Enkeldoorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Enkeldoorn
Context triple: [Chivhu, formerName, Enkeldoorn]
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • E. Reigersbos
    Reigersbos is a metro station in the southeastern part of Amsterdam, serving the surrounding residential neighborhood on the city's rapid transit network.
  • 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: Enkeldoorn
Triple: [Chivhu, formerName, Enkeldoorn]
Generated description
Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Enkeldoorn
Target entity description: Enkeldoorn is the former colonial-era name of the Zimbabwean town now known as Chivhu.
  • A. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • B. Nieuwenhoorn
    Nieuwenhoorn is a village in the western Netherlands that forms part of the province of South Holland.
  • C. Goudswaard
    Goudswaard is a small village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Ruurlo
    Ruurlo is a village in the Dutch province of Gelderland, known for its historic estates and rural character.
  • E. Reigersbos
    Reigersbos is a metro station in the southeastern part of Amsterdam, serving the surrounding residential neighborhood on the city's rapid transit network.
  • 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_69a88aa979788190ad6500f1d8eee2fc completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0be7fb4819081a5f9c46b616bdb completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0eef98819083bede32490cba7e completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbccdb08190a73fd20a110219d9 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c3d07a08190a6221a33fd02f73e completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.