Triple

T12868547
Position Surface form Disambiguated ID Type / Status
Subject BJX E307784 entity
Predicate servesRegion P82 FINISHED
Object León–Guanajuato 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: León–Guanajuato | Statement: [BJX, servesRegion, León–Guanajuato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: León–Guanajuato
Context triple: [BJX, servesRegion, León–Guanajuato]
  • A. Guanajuato
    Guanajuato is a central Mexican state known for its colonial architecture, rich mining history, and vibrant cultural festivals, including the famous Cervantino Festival.
  • B. Bajío chosen
    Bajío is a fertile, economically important region in central-western Mexico known for its agriculture, industry, and colonial cities.
  • C. San Luis Potosí
    San Luis Potosí is a central Mexican state known for its diverse landscapes—from the arid high plateau to the lush Huasteca region—rich mining history, and colonial-era architecture.
  • D. Querétaro
    Querétaro is a central Mexican state known for its colonial-era capital city, growing industrial economy, and location at the junction of major mountain and plateau regions.
  • E. Zacatecas
    Zacatecas is a mountainous state in north-central Mexico known for its rich silver-mining history, colonial architecture, and location along the Sierra Madre Occidental.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bb26eb08190912d0b44c345bf41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:38 p.m.