Triple

T6560937
Position Surface form Disambiguated ID Type / Status
Subject Guadalajara public bus network E153780 entity
Predicate serves P98 FINISHED
Object Tonalá E172149 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: Tonalá | Statement: [Guadalajara public bus network, serves, Tonalá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tonalá
Context triple: [Guadalajara public bus network, serves, Tonalá]
  • A. Tonalá chosen
    Tonalá is a municipality and city in the Guadalajara metropolitan area of Jalisco, Mexico, known for its traditional pottery and handicrafts.
  • B. Toniná
    Toniná is an ancient Maya archaeological site in Chiapas, Mexico, known for its towering acropolis, intricate stone carvings, and evidence of powerful Classic-period warfare and politics.
  • C. Tejutla
    Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
  • D. Tultitlán
    Tultitlán is a municipality in the State of Mexico within the Greater Mexico City metropolitan area, known for its dense urban development and industrial activity.
  • E. Guarijío
    Guarijío is an indigenous Uto-Aztecan language spoken by the Guarijío people of northern Mexico, particularly in the states of Chihuahua and Sonora.
  • 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_69c6880cb35881909b763eb0125236b9 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae37a5b0819091692fc5def270b9 completed March 27, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55fa1bc81908f2929e835051532 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:52 p.m.