Triple

T7350198
Position Surface form Disambiguated ID Type / Status
Subject Sierra de Amula E169477 entity
Predicate borderedByRegion P224 FINISHED
Object Valles E169479 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: Valles | Statement: [Sierra de Amula, borderedByRegion, Valles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valles
Context triple: [Sierra de Amula, borderedByRegion, Valles]
  • A. Valles
    Valles was a prominent Hollywood costume designer known for creating elegant, character-defining wardrobes for mid-20th-century films.
  • B. Valles region chosen
    The Valles region is a geographic and administrative area within the Mexican state of Jalisco, known for its agricultural production and tequila-making towns.
  • C. Valle
    Valle is a small rural municipality in southern Norway known for its traditional Setesdal culture and scenic mountainous landscapes.
  • D. Ares Vallis
    Ares Vallis is an ancient outflow channel on Mars, notable as a geologically diverse floodplain that was explored in situ by NASA’s Mars Pathfinder mission.
  • E. Valles Calchaquíes
    Valles Calchaquíes is a scenic system of intermontane valleys in the Andes renowned for its high-altitude vineyards, traditional villages, and dramatic desert 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_69c68a5878888190968ce4d04db8d69f completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f107b88c81908bb5f8deb40ab70b completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa95b26481909f26389d1019da91 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:05 p.m.