Triple

T17869729
Position Surface form Disambiguated ID Type / Status
Subject Laguna Blanca E446799 entity
Predicate hasEcosystem P531 FINISHED
Object Patagonian grasslands NE NERFINISHED

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: Patagonian grasslands | Statement: [Laguna Blanca, hasEcosystem, Patagonian grasslands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patagonian grasslands
Context triple: [Laguna Blanca, hasEcosystem, Patagonian grasslands]
  • A. Patagonian steppe chosen
    The Patagonian steppe is a vast, windswept cold desert and grassland region in southern Argentina, characterized by sparse vegetation, arid climate, and extensive sheep ranching.
  • B. Pampas
    The Pampas is a vast fertile lowland plain in South America, primarily in Argentina, known for its grasslands, agriculture, and cattle ranching.
  • C. Pampa del Tamarugal
    Pampa del Tamarugal is an arid plateau in northern Chile’s Atacama Desert, notable for its vast salt flats, sparse vegetation, and proximity to major pre-Columbian geoglyph sites.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa18df881908a8ff40b7de19268 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.