Triple

T10249273
Position Surface form Disambiguated ID Type / Status
Subject Asparagales E240297 entity
Predicate includesGenus P1393 FINISHED
Object Cymbidium
Cymbidium is a popular genus of orchids known for its long-lasting, showy flowers and frequent use in ornamental horticulture and floral arrangements.
E854837 NE FINISHED

How this triple was built (4 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: [Asparagales, includesGenus, Cymbidium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cymbidium
Context triple: [Asparagales, includesGenus, Cymbidium]
  • A. Cattleya
    Cattleya is an Italian film and television production company known for producing acclaimed movies and international TV series.
  • B. Phalaenopsis
    Phalaenopsis is a popular genus of tropical orchids, often called moth orchids, known for their long-lasting, colorful flowers and frequent use as ornamental houseplants.
  • C. Bottiaea
    Bottiaea was an ancient historical region in northern Greece, later incorporated into the kingdom of Macedon.
  • D. Vanda
    Vanda is the Swedish name for Vantaa, a major city in the Helsinki metropolitan area of southern Finland.
  • E. Polygonanthus
    Polygonanthus is a small genus of tropical flowering trees native to South America, known for its occurrence in wet forest habitats.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cymbidium
Triple: [Asparagales, includesGenus, Cymbidium]
Generated description
Cymbidium is a popular genus of orchids known for its long-lasting, showy flowers and frequent use in ornamental horticulture and floral arrangements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cymbidium
Target entity description: Cymbidium is a popular genus of orchids known for its long-lasting, showy flowers and frequent use in ornamental horticulture and floral arrangements.
  • A. Cattleya
    Cattleya is an Italian film and television production company known for producing acclaimed movies and international TV series.
  • B. Phalaenopsis
    Phalaenopsis is a popular genus of tropical orchids, often called moth orchids, known for their long-lasting, colorful flowers and frequent use as ornamental houseplants.
  • C. Bottiaea
    Bottiaea was an ancient historical region in northern Greece, later incorporated into the kingdom of Macedon.
  • D. Vanda
    Vanda is the Swedish name for Vantaa, a major city in the Helsinki metropolitan area of southern Finland.
  • E. Polygonanthus
    Polygonanthus is a small genus of tropical flowering trees native to South America, known for its occurrence in wet forest habitats.
  • F. None of above. chosen

Provenance (5 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23c4cd88190b99e65a074b68d6b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cc82110819095fb77eb964d23bd completed April 9, 2026, 3:28 a.m.
NEDg Description generation batch_69d73180d90481908f1b4768230edd36 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7326b14988190bff33dc01e690707 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:28 a.m.