Triple

T21823390
Position Surface form Disambiguated ID Type / Status
Subject Iavoloha Palace E538784 entity
Predicate languageUsed P238 FINISHED
Object Malagasy 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: Malagasy | Statement: [Iavoloha Palace, languageUsed, Malagasy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malagasy
Context triple: [Iavoloha Palace, languageUsed, Malagasy]
  • A. Malagasy chosen
    Malagasy is an Austronesian language spoken predominantly in Madagascar and serves as a key marker of the island’s national identity and culture.
  • B. Betsileo Malagasy
    Betsileo Malagasy is a prominent regional variety of the Malagasy language spoken primarily by the Betsileo people in the central highlands of Madagascar.
  • C. Sakalava Malagasy
    Sakalava Malagasy is a regional variety of the Malagasy language spoken primarily by the Sakalava people of western Madagascar.
  • D. Betsimisaraka Malagasy
    Betsimisaraka Malagasy are a major ethnic group of Madagascar, traditionally inhabiting the island’s eastern coastal region and known for their seafaring, trading heritage, and distinct Malagasy dialect.
  • E. franc malgache
    Franc malgache is the French name for the former Malagasy franc, the historical currency of Madagascar before the adoption of the ariary.
  • 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_69e0c475038c8190abb9b1a20eb8ff50 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0912f69f08190b06c718aa35c2bf0 completed April 28, 2026, 10:51 a.m.
Created at: April 16, 2026, 6:54 p.m.