Triple

T11852825
Position Surface form Disambiguated ID Type / Status
Subject Colignonia E281949 entity
Predicate hasCommonName P570 FINISHED
Object Colignonia E281949 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: Colignonia | Statement: [Colignonia, hasCommonName, Colignonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colignonia
Context triple: [Colignonia, hasCommonName, Colignonia]
  • A. Colignonia chosen
    Colignonia is a genus of flowering plants in the four o'clock family, Nyctaginaceae, native to parts of the Americas.
  • B. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • C. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • D. Clusone
    Clusone is a historic town in northern Italy known for its medieval architecture and frescoes, located in the Lombardy region.
  • E. Mauricia
    Mauricia is a feminine given name, commonly used in Spanish and Portuguese, derived from the masculine name Mauricio.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a696ee548190800d56c64c339b10 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167c9d4e88190bfaadada0450e639 completed April 29, 2026, 2:07 a.m.
Created at: April 8, 2026, 9:43 p.m.