Triple

T21635646
Position Surface form Disambiguated ID Type / Status
Subject First Malagasy Republic E533951 entity
Predicate capital P234 FINISHED
Object Antananarivo 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: Antananarivo | Statement: [First Malagasy Republic, capital, Antananarivo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antananarivo
Context triple: [First Malagasy Republic, capital, 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. 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.
  • D. 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.
  • E. Mamoudzou
    Mamoudzou is the largest city and main administrative and economic center of the French overseas department of Mayotte in the Indian Ocean.
  • 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_69e0c465ae7481908577b7209fdb2a77 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef538c5fbc8190a3316cf91f9516dc completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.