Triple

T2501504
Position Surface form Disambiguated ID Type / Status
Subject Montluçon E52473 entity
Predicate twinnedWith P1072 FINISHED
Object Antsirabe
Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
 E272565 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: Antsirabe | Statement: [Montluçon, twinnedWith, Antsirabe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antsirabe
Context triple: [Montluçon, twinnedWith, Antsirabe]
  • A. Ambato
    Ambato is a major city in the central Andean region of Ecuador, known for its agricultural production, textile industry, and annual Festival of Fruits and Flowers.
  • B. Antananarivo
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • C. Mamoudzou
    Mamoudzou is the largest city and main administrative and economic center of the French overseas department of Mayotte in the Indian Ocean.
  • D. Maromokotro
    Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
  • E. Anjouan
    Anjouan is a volcanic island in the Indian Ocean that forms part of the Union of the Comoros, known for its rugged terrain, clove production, and strategic location in the Mozambique Channel.
  • 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: Antsirabe
Triple: [Montluçon, twinnedWith, Antsirabe]
Generated description
Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antsirabe
Target entity description: Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
  • A. Ambato
    Ambato is a major city in the central Andean region of Ecuador, known for its agricultural production, textile industry, and annual Festival of Fruits and Flowers.
  • B. Antananarivo
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • C. Mamoudzou
    Mamoudzou is the largest city and main administrative and economic center of the French overseas department of Mayotte in the Indian Ocean.
  • D. Maromokotro
    Maromokotro is the tallest mountain in Madagascar, located in the island’s northern highlands.
  • E. Anjouan
    Anjouan is a volcanic island in the Indian Ocean that forms part of the Union of the Comoros, known for its rugged terrain, clove production, and strategic location in the Mozambique Channel.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1c9f80c8190b40ada396e184e75 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa0e26481908e383a6d44b3f3d5 completed March 9, 2026, 7:29 p.m.
NEDg Description generation batch_69af204c84c48190b56ee7c00bf2f996 completed March 9, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69af20fa30948190b2408ad9eefce79b completed March 9, 2026, 7:35 p.m.
Created at: March 6, 2026, 9:46 p.m.