Triple

T5612809
Position Surface form Disambiguated ID Type / Status
Subject President of Madagascar E147398 entity
Predicate seat P75 FINISHED
Object Antananarivo E131488 NE FINISHED

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: Antananarivo | Statement: [President of Madagascar, seat, Antananarivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antananarivo
Context triple: [President of Madagascar, seat, Antananarivo]
  • A. Antananarivo chosen
    Antananarivo is the capital and largest city of Madagascar, serving as its political, economic, and cultural center.
  • B. Antsirabe
    Antsirabe is a highland city in central Madagascar known for its cool climate, thermal springs, and colonial-era architecture.
  • C. 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.
  • D. Mamoudzou
    Mamoudzou is the largest city and main administrative and economic center of the French overseas department of Mayotte in the Indian Ocean.
  • E. Port Louis
    Port Louis is the capital and largest city of Mauritius, serving as its main economic, political, and cultural center as well as a key regional port in the Indian Ocean.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0212143708190b5234407334ab216 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.