Triple

T1474396
Position Surface form Disambiguated ID Type / Status
Subject Jalisco E30805 entity
Predicate borders P224 FINISHED
Object Colima E64296 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: Colima | Statement: [Jalisco, borders, Colima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colima
Context triple: [Jalisco, borders, Colima]
  • A. Colima chosen
    Colima is a small Pacific-coast state in western Mexico known for its active Colima Volcano, agricultural production, and relatively high standard of living.
  • B. Colima Territory
    Colima Territory was a former federal territory in western Mexico that later became the state of Colima.
  • C. Tlajomulco de Zúñiga
    Tlajomulco de Zúñiga is a rapidly growing municipality in the Guadalajara metropolitan area of Jalisco, Mexico, known for its suburban expansion and strategic economic importance.
  • D. Matlatzinca
    Matlatzinca is an indigenous language of central Mexico spoken by the Matlatzinca people, primarily in the State of Mexico.
  • E. Orizaba
    Orizaba is a city in the Mexican state of Veracruz, known for its colonial architecture, mountainous surroundings, and proximity to the country’s highest peak, Pico de Orizaba.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15a98b4c819082bd7aa8e0c82de9 completed March 8, 2026, 6:22 a.m.
Created at: March 1, 2026, 8:11 p.m.