Triple

T6186894
Position Surface form Disambiguated ID Type / Status
Subject Cachapoal Valley E138082 entity
Predicate hasSubregion P285 FINISHED
Object Machalí E562592 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: Machalí | Statement: [Cachapoal Valley, hasSubregion, Machalí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Machalí
Context triple: [Cachapoal Valley, hasSubregion, Machalí]
  • A. Machalí chosen
    Machalí is a Chilean city in the O'Higgins Region known for its proximity to the El Teniente copper mine and the Andean foothills.
  • B. Challapata
    Challapata is a town in Bolivia’s Oruro Department, situated on the Andean Altiplano and known as an agricultural and trading center near Poopó Lake.
  • C. Chepica
    Chepica is a small town and commune in central Chile’s O’Higgins Region, known for its agricultural activity and role within the Colchagua Valley wine area.
  • D. Riobamba
    Riobamba is a city in the central highlands of Ecuador, known as a gateway to the Andes and nearby Chimborazo volcano.
  • E. Colina
    Colina is a commune and city in central Chile known for its growing residential areas and proximity to Santiago in the Santiago Metropolitan Region.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0621671988190938dd16242a2e4d5 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16effda2481909dad5732077cf1d3 completed March 23, 2026, 4:49 p.m.
Created at: March 22, 2026, 4:19 p.m.