Triple

T15512584
Position Surface form Disambiguated ID Type / Status
Subject Teno River E368747 entity
Predicate hasMouthIn P1008 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: [Teno River, hasMouthIn, Maule Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maule Region
Context triple: [Teno River, hasMouthIn, 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. Región de Ñuble
    Región de Ñuble is an administrative region in central Chile known for its agricultural production, wine valleys, and the city of Chillán as its capital.
  • D. 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.
  • E. Maule Valley
    Maule Valley is a prominent wine-producing region in central Chile, known for its diverse terroir and significant output of red and white varietals.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56bb23e88190bb3e9ad5e409a2f8 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4 a.m.