Triple

T22524439
Position Surface form Disambiguated ID Type / Status
Subject Analamanga Region E556862 entity
Predicate hasRoadConnectionTo P11435 FINISHED
Object Toamasina
Toamasina is a major port city on Madagascar’s east coast and one of the country’s key commercial and transport hubs.
 E1561357 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: Toamasina | Statement: [Analamanga Region, hasRoadConnectionTo, Toamasina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toamasina
Context triple: [Analamanga Region, hasRoadConnectionTo, Toamasina]
  • A. Antananarivo
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • B. Bidassoa
    Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
  • C. Antsirabe
    Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
  • D. Fianarantsoa
    Fianarantsoa is a major city in south-central Madagascar known as a cultural and educational hub and a gateway to the island’s highland wine and tea regions.
  • E. 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.
  • 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: Toamasina
Triple: [Analamanga Region, hasRoadConnectionTo, Toamasina]
Generated description
Toamasina is a major port city on Madagascar’s east coast and one of the country’s key commercial and transport hubs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toamasina
Target entity description: Toamasina is a major port city on Madagascar’s east coast and one of the country’s key commercial and transport hubs.
  • A. Antananarivo
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • B. Bidassoa
    Bidassoa is a river in the western Pyrenees that forms part of the border between France and Spain before flowing into the Bay of Biscay.
  • C. Antsirabe
    Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
  • D. Fianarantsoa
    Fianarantsoa is a major city in south-central Madagascar known as a cultural and educational hub and a gateway to the island’s highland wine and tea regions.
  • E. 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.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e34590c81909e4ed1c95f13a199 completed April 29, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc22afa788190a93dc2beeeeedcc3 completed May 19, 2026, 1:51 a.m.
NEDg Description generation batch_6a0bc31b94f481909c437296742cfed8 completed May 19, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc38cf34c8190aaca05bbf32d28de completed May 19, 2026, 1:57 a.m.
Created at: April 16, 2026, 8:51 p.m.