Triple

T1126548
Position Surface form Disambiguated ID Type / Status
Subject Bloemfontein E24732 entity
Predicate alsoKnownAs P39 FINISHED
Object Bloem
Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
 E128475 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: Bloem | Statement: [Bloemfontein, alsoKnownAs, Bloem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bloem
Context triple: [Bloemfontein, alsoKnownAs, Bloem]
  • A. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • B. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • C. Klaaswaal
    Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Roos
    The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
  • 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: Bloem
Triple: [Bloemfontein, alsoKnownAs, Bloem]
Generated description
Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bloem
Target entity description: Bloem is the commonly used short name for Bloemfontein, one of South Africa’s three capital cities and the judicial capital of the country.
  • A. Kerria
    Kerria is a small genus of deciduous flowering shrubs, best known for the ornamental Japanese kerria with its bright yellow, rose-like blooms.
  • B. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • C. Klaaswaal
    Klaaswaal is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • D. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • E. Roos
    The Roos are the athletic teams representing the University of Missouri–Kansas City in NCAA competition.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbdc2718819094f5519ffb56993b completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539fc3708190b0b3dec5d5c73a71 completed March 7, 2026, 4:34 p.m.
NEDg Description generation batch_69ac54b01b7c8190ab7ad4441757fa2f completed March 7, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69ac556dfc8c8190b70a7d6310aa87d7 completed March 7, 2026, 4:42 p.m.
Created at: March 1, 2026, 7:44 p.m.