Triple

T780296
Position Surface form Disambiguated ID Type / Status
Subject Puerto Montt E16480 entity
Predicate locatedIn P40 FINISHED
Object Los Lagos Region E19644 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: Los Lagos Region | Statement: [Puerto Montt, locatedIn, Los Lagos Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Lagos Region
Context triple: [Puerto Montt, locatedIn, Los Lagos Region]
  • A. Los Lagos Region chosen
    Los Lagos Region is a southern administrative region of Chile known for its lakes, volcanoes, and coastal landscapes, including the island of Chiloé.
  • B. Maule Region
    The Maule Region is an administrative region in central Chile known for its agricultural production, wine industry, and coastal and Andean landscapes.
  • 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. Biobío Region
    The Biobío Region is a central-southern administrative region of Chile known for its major industrial centers, coastal cities, and role as a key hub between the country's north and south.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac427da0348190a8ae16db2a048d0b completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:37 p.m.