Triple

T1232481
Position Surface form Disambiguated ID Type / Status
Subject Central Mexico E26473 entity
Predicate includesState P285 FINISHED
Object Guanajuato E68616 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: Guanajuato | Statement: [Central Mexico, includesState, Guanajuato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guanajuato
Context triple: [Central Mexico, includesState, Guanajuato]
  • A. Guanajuato chosen
    Guanajuato is a central Mexican state known for its colonial architecture, rich mining history, and vibrant cultural festivals, including the famous Cervantino Festival.
  • B. 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.
  • C. Querétaro City
    Querétaro City is a historic and rapidly growing urban center in central Mexico, known for its well-preserved colonial architecture and strong industrial and technological economy.
  • D. Aguascalientes
    Aguascalientes is a centrally located Mexican state known for its industrial growth, colonial architecture, and the famous San Marcos Fair.
  • E. Oaxaca
    Oaxaca is a culturally rich state in southern Mexico known for its Indigenous heritage, colonial architecture, diverse cuisine, and varied geography ranging from Pacific coastlines to rugged mountain ranges.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5b40208190b115a6a344402caf completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce5bdd248190a66551c814dcfac4 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:47 p.m.