Triple

T2624163
Position Surface form Disambiguated ID Type / Status
Subject Córdoba, Argentina E59076 entity
Predicate region P40 FINISHED
Object Pampas region E25063 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: Pampas region | Statement: [Córdoba, Argentina, region, Pampas region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pampas region
Context triple: [Córdoba, Argentina, region, Pampas region]
  • A. Pampas chosen
    The Pampas is a vast fertile lowland plain in South America, primarily in Argentina, known for its grasslands, agriculture, and cattle ranching.
  • B. 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.
  • C. 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.
  • D. Gran Chaco
    The Gran Chaco is a vast, sparsely populated lowland plain in central South America, known for its hot, semi-arid climate and dry forests spanning parts of Argentina, Paraguay, Bolivia, and Brazil.
  • E. Meseta Central matorral
    Meseta Central matorral is a semi-arid shrubland ecoregion on Mexico’s central plateau, characterized by drought-adapted vegetation and high 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8af06fc8190ab48d746b8c8892b completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af909b7d9881908930a98d004998fb completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:50 p.m.