Triple

T188334
Position Surface form Disambiguated ID Type / Status
Subject Central Valley of Chile E3664 entity
Predicate contains P35 FINISHED
Object Maule Region E17708 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: Maule Region | Statement: [Central Valley of Chile, contains, Maule Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maule Region
Context triple: [Central Valley of Chile, contains, Maule Region]
  • A. Maule Region chosen
    The Maule Region is an administrative region in central Chile known for its agricultural production, wine industry, and coastal and Andean landscapes.
  • B. Los Lagos Region
    Los Lagos Region is a southern administrative region of Chile known for its lakes, volcanoes, and coastal landscapes, including the island of Chiloé.
  • C. O’Higgins Region
    The O’Higgins Region is an administrative region in central Chile known for its agricultural production, particularly vineyards and fruit growing, and its capital city, Rancagua.
  • D. Ñuble Region
    Ñuble Region is an administrative region in south-central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
  • E. Coquimbo Region
    Coquimbo Region is a region in northern Chile known for its clear skies, astronomical observatories, and coastal and semi-arid landscapes.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2594abeec8190a48f36817e647fcd completed Feb. 28, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3672e822c8190be0d6c0714034ff7 completed Feb. 28, 2026, 10:07 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.