Triple

T3725529
Position Surface form Disambiguated ID Type / Status
Subject Fuego E81738 entity
Predicate near P350 FINISHED
Object Antigua Guatemala E88029 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: Antigua Guatemala | Statement: [Fuego, near, Antigua Guatemala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antigua Guatemala
Context triple: [Fuego, near, Antigua Guatemala]
  • A. Antigua Guatemala chosen
    Antigua Guatemala is a historic colonial city in southern Guatemala renowned for its well-preserved Spanish Baroque architecture and cobblestone streets, and is recognized as a UNESCO World Heritage Site.
  • B. Copán
    Copán is an ancient Maya city in present-day Honduras renowned for its elaborate stone sculptures, hieroglyphic inscriptions, and well-preserved archaeological remains.
  • C. Guatemala City
    Guatemala City is the capital and largest city of Guatemala, serving as the country’s political, economic, and cultural center.
  • D. Toltén
    Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
  • E. Huehuetenango, Guatemala
    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.
  • 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_69ad8b1b7ef081908d2d381bbf54985a completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcaf669d48190852aaeef70265404 completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4f14efc8190bc385ea8ab801771 completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:34 p.m.