Triple

T5517802
Position Surface form Disambiguated ID Type / Status
Subject Tietê River E144727 entity
Predicate flowsThrough P225 FINISHED
Object Anhembi
Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
 E529673 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: Anhembi | Statement: [Tietê River, flowsThrough, Anhembi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anhembi
Context triple: [Tietê River, flowsThrough, Anhembi]
  • A. Mafikeng
    Mafikeng is a town in South Africa historically known as the site of the famous Siege of Mafeking during the Second Boer War.
  • B. Bumbane Great Place
    Bumbane Great Place is the historic royal residence and principal traditional seat of the Thembu monarchy in South Africa.
  • C. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • D. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • E. Mahikeng
    Mahikeng is the capital city of South Africa’s North West Province, historically known as Mafikeng and noted for its role in the Second Boer War.
  • 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: Anhembi
Triple: [Tietê River, flowsThrough, Anhembi]
Generated description
Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anhembi
Target entity description: Anhembi is a municipality in the state of São Paulo, Brazil, known for its riverside setting and regional cultural traditions.
  • A. Mafikeng
    Mafikeng is a town in South Africa historically known as the site of the famous Siege of Mafeking during the Second Boer War.
  • B. Bumbane Great Place
    Bumbane Great Place is the historic royal residence and principal traditional seat of the Thembu monarchy in South Africa.
  • C. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • D. Masandawana
    Masandawana is the popular nickname of South African football club Mamelodi Sundowns F.C., one of the country’s most successful and widely supported teams.
  • E. Mahikeng
    Mahikeng is the capital city of South Africa’s North West Province, historically known as Mafikeng and noted for its role in the Second Boer War.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f6cefe48190bfda90d6afab8468 completed March 22, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c027e1ed4c81908f670286556ced81 completed March 22, 2026, 5:33 p.m.
NEDg Description generation batch_69c03847b3348190be97b7c5795df368 completed March 22, 2026, 6:43 p.m.
NED2 Entity disambiguation (via description) batch_69c038e148a0819080a306307e60d437 completed March 22, 2026, 6:45 p.m.
Created at: March 22, 2026, 3:33 p.m.