Triple

T10540771
Position Surface form Disambiguated ID Type / Status
Subject León E248688 entity
Predicate locatedInRegion P40 FINISHED
Object Bajío E166267 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: Bajío | Statement: [León, locatedInRegion, Bajío]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajío
Context triple: [León, locatedInRegion, Bajío]
  • A. Bajío chosen
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • B. Xalisco
    Xalisco is a municipality and town in the Mexican state of Nayarit, known for its agricultural activity and proximity to the state capital, Tepic.
  • C. Guamúchil
    Guamúchil is a city in the Mexican state of Sinaloa known as a regional commercial and agricultural center.
  • D. Tecolotlán
    Tecolotlán is a municipality and town in the state of Jalisco, Mexico, known for its rural landscapes, traditional culture, and location within the Sierra de Amula region.
  • E. Coatlan
    Coatlan was a Mesoamerican city-state that took part in the Tepanec War during the rise of the Aztec Triple Alliance.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbacc05334819081e994d75b5e9318 completed April 12, 2026, 2:31 p.m.
Created at: April 6, 2026, 12:32 p.m.