Triple

T3627038
Position Surface form Disambiguated ID Type / Status
Subject Guillermo Lasso E76863 entity
Predicate placeOfBirth P1 FINISHED
Object Guayaquil E8988 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: Guayaquil | Statement: [Guillermo Lasso, placeOfBirth, Guayaquil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guayaquil
Context triple: [Guillermo Lasso, placeOfBirth, Guayaquil]
  • A. Guayaquil chosen
    Guayaquil is a major Pacific port city in southwestern Ecuador and the country’s principal commercial and industrial center.
  • B. Quito
    Quito is the high-altitude Andean city that serves as Ecuador’s political and cultural center, renowned for its well-preserved colonial historic center and dramatic mountain setting.
  • C. Esmeraldas
    Esmeraldas is a coastal city and province in northwestern Ecuador known for its Afro-Ecuadorian culture, beaches, and important oil and port industries.
  • D. Cumaná
    Cumaná is a historic coastal city in northeastern Venezuela, recognized as one of the oldest continuously inhabited European-founded settlements in the Americas.
  • E. Lima
    Lima is the capital and largest city of Peru, known as a major political, economic, and cultural center on South America's Pacific coast.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2dc011c8190a6596f4b483fb078 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c256e0881909c6d481d373e814c completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:23 p.m.