Triple

T1444400
Position Surface form Disambiguated ID Type / Status
Subject Hidalgo E31143 entity
Predicate hasRegion P285 FINISHED
Object Sierra Baja E170682 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: Sierra Baja | Statement: [Hidalgo, hasRegion, Sierra Baja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra Baja
Context triple: [Hidalgo, hasRegion, Sierra Baja]
  • A. Sierra Madre Occidental
    The Sierra Madre Occidental is a major mountain range in western Mexico known for its rugged terrain, deep canyons, and significant biodiversity.
  • B. 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.
  • C. Sierra Alta chosen
    Sierra Alta is a mountainous region in the Mexican state of Hidalgo known for its rugged terrain and rural communities.
  • D. Sierra Tarahumara
    The Sierra Tarahumara is a rugged mountainous region in northwestern Mexico, renowned as the homeland of the Rarámuri (Tarahumara) people and for its deep canyons and remote indigenous communities.
  • E. Sierra Madre del Sur
    Sierra Madre del Sur is a major mountain range in southern Mexico known for its rugged terrain, rich biodiversity, and significant influence on the region’s climate and ecosystems.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5353fdc819090481cbdd1162929 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2328670c819087a2d8b047b67ee8 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8 p.m.