Triple

T13561960
Position Surface form Disambiguated ID Type / Status
Subject Bona Sforza E323930 entity
Predicate givenName P17 FINISHED
Object Bona E857854 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: Bona | Statement: [Bona Sforza, givenName, Bona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bona
Context triple: [Bona Sforza, givenName, Bona]
  • A. Bona chosen
    Bona is a Latin-derived term meaning "good" that appears in various historical and linguistic contexts, including place names and legal or philosophical expressions.
  • B. Bona
    Bona, historically known as Hippo Regius and now Annaba in modern Algeria, is a Mediterranean coastal city that served as a key commercial and strategic port in North Africa.
  • C. Bonan
    Bonan is a Mongolic ethnic group in China, primarily residing in Gansu and Qinghai provinces, known for their distinct language and blend of Islamic and local cultural traditions.
  • D. Bonomi
    Bonomi is an Italian surname most notably associated with Ivanoe Bonomi, a prominent early 20th-century Italian politician and statesman.
  • E. Sofina
    Sofina is a powerful Red Wizard and primary antagonist in the fantasy adventure film "Dungeons & Dragons: Honor Among Thieves."
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff5219081909cf60423e79d278f completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75dad601481908de5f266f01f3f49 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.