Triple

T5073588
Position Surface form Disambiguated ID Type / Status
Subject San Miguel el Grande, Guanajuato E114338 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: [San Miguel el Grande, Guanajuato, locatedInRegion, Bajío]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bajío
Context triple: [San Miguel el Grande, Guanajuato, 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. Coatlan
    Coatlan was a Mesoamerican city-state that took part in the Tepanec War during the rise of the Aztec Triple Alliance.
  • D. El Norte (Mexico)
    El Norte (Mexico) is the northern region of the country, known for its arid landscapes, strong ranching and mining traditions, and significant industrial and border-city development.
  • E. Tlalpan
    Tlalpan is one of the largest and southernmost boroughs of Mexico City, known for its extensive green areas, historic center, and mix of urban and rural zones.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74cfa4348190bc50590117a6bcf9 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba689ee081909a6bb75c6da07db5 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:39 p.m.