Triple

T23205714
Position Surface form Disambiguated ID Type / Status
Subject Cerro de la Pingüica E580447 entity
Predicate highestPointOf P1674 FINISHED
Object Sierra Gorda NE NERFINISHED

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: Sierra Gorda | Statement: [Cerro de la Pingüica, highestPointOf, Sierra Gorda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Gorda
Context triple: [Cerro de la Pingüica, highestPointOf, Sierra Gorda]
  • A. Sierra Gorda
    Sierra Gorda is a small mining town and commune in northern Chile’s Antofagasta Region, known for its copper mining activities in the Atacama Desert.
  • B. Sierra Gorda chosen
    Sierra Gorda is a rugged, biodiverse mountain region in central Mexico known for its dramatic canyons, forests, and rich ecological and cultural heritage.
  • C. Sierra Alta
    Sierra Alta is a mountainous region in the Mexican state of Hidalgo known for its rugged terrain and rural communities.
  • D. Sierra Alta
    Sierra Alta is the summit that forms the highest peak of the Sierra de Albarracín mountain range in eastern Spain.
  • E. Sierra de la Laguna
    Sierra de la Laguna is a biodiverse mountain range in southern Baja California Sur, Mexico, known for its pine–oak forests, endemic species, and status as a protected biosphere reserve.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24602ae1481908aaa6bc7ca493867 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1907cd62c8190afee1e963b170727 completed April 29, 2026, 5 a.m.
Created at: April 17, 2026, 4:07 p.m.