Triple

T21960531
Position Surface form Disambiguated ID Type / Status
Subject Valle de Toluca region E542314 entity
Predicate hasMajorCity P316 FINISHED
Object Rayón NE NERFINISHED

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: Rayón | Statement: [Valle de Toluca region, hasMajorCity, Rayón]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rayón
Context triple: [Valle de Toluca region, hasMajorCity, Rayón]
  • A. Rayón chosen
    Rayón is a municipality in the State of Mexico, central Mexico, known for its rural communities and proximity to the Toluca metropolitan area.
  • B. Ródenas
    Ródenas is a small village in the province of Teruel, Aragon, Spain, noted for its traditional architecture and scenic setting within the Sierra de Albarracín region.
  • C. Rubí
    Rubí is a municipality in the comarca of Vallès Occidental in Catalonia, Spain, known as a residential and industrial town within the Barcelona metropolitan area.
  • D. Raiyoli
    Raiyoli is a village in Gujarat, India, known for its proximity to the dinosaur fossil beds near Balasinor.
  • E. Rubia
    Rubia is a genus of flowering plants in the coffee family known for species like madder, historically used as a source of red dye.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12455e99c819092ec59fe571f814e completed April 28, 2026, 9:19 p.m.
Created at: April 16, 2026, 8 p.m.