Triple

T13622957
Position Surface form Disambiguated ID Type / Status
Subject Penelope dabbenei E325502 entity
Predicate commonName P570 FINISHED
Object Yungas guan E254274 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: Yungas guan | Statement: [Penelope dabbenei, commonName, Yungas guan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yungas guan
Context triple: [Penelope dabbenei, commonName, Yungas guan]
  • A. Yungas chosen
    Yungas is a humid, forested ecoregion along the eastern slopes of the Andes, known for its rich biodiversity and steep, cloud-covered valleys.
  • B. Cumbe-Maita
    Cumbe-Maita is a locality or settlement that forms part of the administrative area known as Capitol L-244.
  • C. Guahibo
    The Guahibo are an Indigenous people of the Llanos region in Colombia and Venezuela, known for their traditionally semi-nomadic lifestyle, distinct language, and deep connection to the Orinoco River basin.
  • D. Guarequena
    Guarequena is an alternative name for the Warekena language, an indigenous Arawakan language spoken in parts of Brazil and Venezuela.
  • E. Pariacaca
    Pariacaca is a prominent deity in Andean mythology, often associated with mountains, storms, and rain.
  • 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_69d8076aae28819092cf636190ee5529 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe9b0b648190afee93121483f45f completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fa4c5fc8190bd791f181fce2aa1 completed May 3, 2026, 5:02 p.m.
Created at: April 9, 2026, 9:50 p.m.