Triple

T4919592
Position Surface form Disambiguated ID Type / Status
Subject Guanaco E110430 entity
Predicate binomialName P569 FINISHED
Object Lama guanicoe E223426 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: Lama guanicoe | Statement: [Guanaco, binomialName, Lama guanicoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lama guanicoe
Context triple: [Guanaco, binomialName, Lama guanicoe]
  • A. Lama guanicoe chosen
    Lama guanicoe, commonly known as the guanaco, is a wild South American camelid closely related to the llama and adapted to arid and high-altitude environments.
  • B. Tawny Cypress
    Tawny Cypress is an American actress known for her roles in television series such as Yellowjackets, Heroes, and House of Cards.
  • C. Stauntonia
    Stauntonia is a genus of woody, often evergreen climbing plants known for their ornamental foliage and elongated, sometimes edible fruits, native to parts of East and Southeast Asia.
  • D. Ceboruco
    Ceboruco is an active stratovolcano in western Mexico known for its historical eruptions and location within the country’s main volcanic arc.
  • E. Plumeret
    Plumeret was an architect known for designing the iconic Parisian music hall Folies Bergère.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6faa78b88190938bee2f81025083 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff4acd88190a308fbac84d3bad9 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.