Triple

T16531978
Position Surface form Disambiguated ID Type / Status
Subject Cayo District E401588 entity
Predicate contains P35 FINISHED
Object San Ignacio E94205 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: San Ignacio | Statement: [Cayo District, contains, San Ignacio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Ignacio
Context triple: [Cayo District, contains, San Ignacio]
  • A. San Ignacio chosen
    San Ignacio is a popular inland town in western Belize known as a cultural hub and gateway to nearby Maya archaeological sites and rainforest adventures.
  • B. San Ignacio
    San Ignacio is a municipality in the Mexican state of Sinaloa known for its rural communities, mining history, and scenic river valleys.
  • C. San Ignacio
    San Ignacio is a town in western Honduras known as a small rural community within the Francisco Morazán Department.
  • D. San Ignacio
    San Ignacio is a historic oasis town in the Mulegé municipality of Baja California Sur, Mexico, known for its colonial mission and lush palm groves in the surrounding desert.
  • E. Tacuba
    Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed8075c81908ff47396879abd0c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00609129808190b893346e06deb944 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:15 a.m.