Triple

T11436753
Position Surface form Disambiguated ID Type / Status
Subject Torreya E271027 entity
Predicate hasSpecies P965 FINISHED
Object Torreya fargesii E271027 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: Torreya fargesii | Statement: [Torreya, hasSpecies, Torreya fargesii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torreya fargesii
Context triple: [Torreya, hasSpecies, Torreya fargesii]
  • A. Torreya chosen
    Torreya is a small genus of evergreen coniferous trees in the yew family, known for their hard, durable wood and large, nut-like seeds.
  • B. Parkinsonia florida
    Parkinsonia florida is a small, drought-tolerant desert tree native to the southwestern United States and northern Mexico, known for its green bark and profuse yellow spring blossoms.
  • C. Sciadopitys
    Sciadopitys is a unique, ancient conifer genus best known for the Japanese umbrella pine, a slow-growing ornamental tree endemic to Japan.
  • D. Myrica faya
    Myrica faya is an evergreen shrub or small tree native to Macaronesia, known for its dense foliage, small edible berries, and role in laurel forest ecosystems.
  • E. Tawny Cypress
    Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8088711ec8190afae9f4d9f2a11ca completed April 9, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6e7580c508190a81eadd9015c75ef completed April 21, 2026, 2:56 a.m.
Created at: April 8, 2026, 9:35 p.m.