Triple

T17474487
Position Surface form Disambiguated ID Type / Status
Subject Santiago Tuxtla E425502 entity
Predicate region P40 FINISHED
Object Los Tuxtlas 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: Los Tuxtlas | Statement: [Santiago Tuxtla, region, Los Tuxtlas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Los Tuxtlas
Context triple: [Santiago Tuxtla, region, Los Tuxtlas]
  • A. Los Tuxtlas chosen
    Los Tuxtlas is a biodiverse volcanic and rainforest region in southern Veracruz, Mexico, known for its lush ecosystems, indigenous communities, and coastal landscapes along the Gulf of Mexico.
  • B. Sierra Mixe
    Sierra Mixe is a mountainous region in Oaxaca, Mexico, known as the traditional homeland of the Mixe Indigenous people.
  • C. Zinacantán
    Zinacantán is a highland town in Chiapas, Mexico, known for its predominantly Tzotzil Maya population, traditional weaving, and vibrant indigenous cultural practices.
  • D. Guanacasteca
    Guanacasteca is the Spanish term for a person from Costa Rica’s Guanacaste Province, often associated with the region’s distinct cultural traditions and identity.
  • E. Huasteca Potosina
    Huasteca Potosina is a lush, waterfall-filled tropical region in eastern San Luis Potosí, Mexico, known for its dramatic landscapes, rivers, and ecotourism.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451baa7b0819092035fec42305397 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.