Triple

T17030346
Position Surface form Disambiguated ID Type / Status
Subject Gilberto E413176 entity
Predicate hasFeminineForm P1613 FINISHED
Object Gilberta E413171 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: Gilberta | Statement: [Gilberto, hasFeminineForm, Gilberta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilberta
Context triple: [Gilberto, hasFeminineForm, Gilberta]
  • A. Gilberta chosen
    Gilberta is a feminine given name, typically considered the female form of Gilbert and used in various European languages.
  • B. Beppina
    Beppina is an Italian diminutive or affectionate nickname commonly used for the female given name Giuseppina.
  • C. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • D. Jacintha
    Jacintha is a feminine given name, typically considered a variant of Hyacinth and associated with the flower of the same name.
  • E. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d918ec8190b54c40c2a5e9b6b9 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012336cfd481909f93c6ea7c94b49f completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:33 a.m.