Triple

T2595938
Position Surface form Disambiguated ID Type / Status
Subject Orinoco Llanos floodplains E58230 entity
Predicate partOf P40 FINISHED
Object Llanos E58230 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: Llanos | Statement: [Orinoco Llanos floodplains, partOf, Llanos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Llanos
Context triple: [Orinoco Llanos floodplains, partOf, Llanos]
  • A. Orinoco Llanos floodplains chosen
    The Orinoco Llanos floodplains are vast seasonally inundated grasslands in the Orinoco River basin of Venezuela and Colombia, known for their rich biodiversity and extensive wetlands.
  • B. Pampa
    Pampa was a pioneering 10th-century Kannada poet, celebrated as one of the “three gems” of classical Kannada literature and best known for his epic works like the Adipurana and Vikramarjuna Vijaya.
  • C. Pampa
    Pampa is a small city in the Texas Panhandle known historically for its role in the oil and gas industry and as a regional service and trade center.
  • D. Orinoco Belt
    The Orinoco Belt is a vast oil-rich region in eastern Venezuela known for containing one of the world’s largest extra-heavy crude oil reserves.
  • E. Orinoco Basin
    The Orinoco Basin is a vast tropical river basin in northern South America, encompassing large parts of Venezuela and Colombia and supporting extensive rainforest, wetlands, and rich biodiversity.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd42978f881909f217e7ec9ac3144 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83c798088190944e7d754aa9aa06 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:49 p.m.