Triple

T2802318
Position Surface form Disambiguated ID Type / Status
Subject Samborondón metropolitan area E53174 entity
Predicate adjacentTo P224 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: [Samborondón metropolitan area, adjacentTo, Guayaquil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guayaquil
Context triple: [Samborondón metropolitan area, adjacentTo, 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde12b33481908b276760a922db9c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b402b005d88190b127d483ee48c2cd completed March 13, 2026, 12:27 p.m.
Created at: March 6, 2026, 9:58 p.m.