Triple

T22824129
Position Surface form Disambiguated ID Type / Status
Subject Antananarivo E565305 entity
Predicate hasNickname P39 FINISHED
Object Tana 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: Tana | Statement: [Antananarivo, hasNickname, Tana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tana
Context triple: [Antananarivo, hasNickname, Tana]
  • A. Tana
    Tana was a medieval Genoese trading colony and port on the Sea of Azov that served as a key hub for commerce between Europe and Asia.
  • B. Tana chosen
    Tana is the commonly used nickname for Antananarivo, the capital and largest city of Madagascar.
  • C. Tana
    Tana is a sparsely populated municipality in Troms og Finnmark county in northern Norway, known for the Tana River, rich salmon fishing, and strong Sámi cultural heritage.
  • D. Tana
    Tana is the given name of Irish crime novelist Tana French, known for her Dublin Murder Squad series.
  • E. Tana Rivera
    Tana Rivera is a Spanish aristocrat and media personality, best known as the daughter of socialite and noblewoman Eugenia Martínez de Irujo and bullfighter Francisco Rivera Ordóñez.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd34a248190881f2bccdd9aedce completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.