Triple

T22162570
Position Surface form Disambiguated ID Type / Status
Subject Western Guatemala E547707 entity
Predicate hasMajorCity P316 FINISHED
Object Huehuetenango E379694 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: Huehuetenango | Statement: [Western Guatemala, hasMajorCity, Huehuetenango]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huehuetenango
Context triple: [Western Guatemala, hasMajorCity, Huehuetenango]
  • A. Zinacantán
    Zinacantán is a highland town in Chiapas, Mexico, known for its predominantly Tzotzil Maya population, traditional weaving, and vibrant indigenous cultural practices.
  • B. Cosoleacaque
    Cosoleacaque is a city in the southern part of the Mexican state of Veracruz, known as an industrial and transport hub in the oil-producing region near Minatitlán.
  • C. Huehuetenango, Guatemala chosen
    Huehuetenango, Guatemala is a city in western Guatemala known as a regional commercial hub near the Mexican border and as the capital of the department of the same name.
  • D. Jutiapa
    Jutiapa is a town and municipality located in the Atlántida Department on the northern Caribbean coast of Honduras.
  • E. Huehuetenango Department
    Huehuetenango Department is a highland region in western Guatemala known for its rugged mountains, indigenous Maya communities, and renowned coffee production.
  • 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_69e11e3c4c5c81908d336165816b12e0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a2e47a88190a3b5c05398605f68 completed April 28, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ebca89c81908f2c4c3846377be5 completed May 18, 2026, 5:08 a.m.
Created at: April 16, 2026, 8:34 p.m.