Triple

T16876647
Position Surface form Disambiguated ID Type / Status
Subject Rhea E421315 entity
Predicate hasSpecies P965 FINISHED
Object Rhea pennata E421316 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: Rhea pennata | Statement: [Rhea, hasSpecies, Rhea pennata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rhea pennata
Context triple: [Rhea, hasSpecies, Rhea pennata]
  • A. Rhea pennata chosen
    Rhea pennata is a large, flightless bird native to South America, known as the lesser rhea and characterized by its long legs, long neck, and ostrich-like appearance.
  • B. Rhea americana
    Rhea americana, commonly known as the greater rhea, is a large, flightless bird native to South America that resembles an ostrich and inhabits open grasslands and savannas.
  • C. Trichopsetta
    Trichopsetta is a genus of lefteye flounders, a group of bottom-dwelling flatfishes found in marine environments.
  • D. Penelope purpurascens
    Penelope purpurascens, commonly known as the crested guan, is a large, arboreal game bird native to the tropical forests of Central and northern South America.
  • E. Leucorea
    Leucorea is the historical name of the University of Wittenberg, a prominent German university closely associated with the Protestant Reformation and figures like Martin Luther.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f704a081909921d00b3c470472 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7a451708190897bb3332c1e7457 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.