Triple

T22524438
Position Surface form Disambiguated ID Type / Status
Subject Analamanga Region E556862 entity
Predicate partOf P40 FINISHED
Object Highlands of Madagascar NE NERFINISHED

How this triple was built (2 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: Highlands of Madagascar | Statement: [Analamanga Region, partOf, Highlands of Madagascar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Highlands of Madagascar
Context triple: [Analamanga Region, partOf, Highlands of Madagascar]
  • A. Central Highlands of Madagascar chosen
    The Central Highlands of Madagascar are a mountainous inland region characterized by elevated plateaus, cooler climate, and dense population centers including the capital city, Antananarivo.
  • B. Ambarikorano, Madagascar
    Ambarikorano, Madagascar is a locality in Madagascar known as the birthplace of the country’s first president, Philibert Tsiranana.
  • C. Tsaratanana Massif
    Tsaratanana Massif is a mountainous region in northern Madagascar known for containing the island’s highest peak and hosting unique high-altitude ecosystems.
  • D. Vouno
    Vouno is a traditional village on the Greek island of Chios, known for its distinctive medieval architecture and association with mastic production.
  • E. Madagascar
    Madagascar is a large island nation in the Indian Ocean renowned for its unique biodiversity and high rate of endemic species.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 8:51 p.m.