Triple

T11977178
Position Surface form Disambiguated ID Type / Status
Subject Orchidaceae E285067 entity
Predicate includesGenus P1393 FINISHED
Object Cymbidium E854837 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: Cymbidium | Statement: [Orchidaceae, includesGenus, Cymbidium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cymbidium
Context triple: [Orchidaceae, includesGenus, Cymbidium]
  • A. Cymbidium chosen
    Cymbidium is a popular genus of orchids known for its long-lasting, showy flowers and frequent use in ornamental horticulture and floral arrangements.
  • B. Dendrobium
    Dendrobium is a large and diverse genus of orchids known for its ornamental flowers and widespread distribution across Asia and the Pacific.
  • C. Oncidium
    Oncidium is a diverse genus of showy, often yellow and brown “dancing lady” orchids widely cultivated as ornamental house and greenhouse plants.
  • D. Cattleya
    Cattleya is an Italian film and television production company known for producing acclaimed movies and international TV series.
  • E. Cattleya
    Cattleya is a genus of showy, often fragrant orchids highly prized in horticulture and commonly used as classic corsage flowers.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903926690819090e7ce982f103457 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5b024c81909e4ccfd7dec7edb3 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:46 p.m.