Triple

T6163305
Position Surface form Disambiguated ID Type / Status
Subject National Police of Ecuador E137494 entity
Predicate operatesIn P82 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: [National Police of Ecuador, operatesIn, Guayaquil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guayaquil
Context triple: [National Police of Ecuador, operatesIn, 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_69c008a54fc88190b6ce4416490ca79d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d5e8edc8190a7a394ee832bac9f completed March 22, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ee96c48190afe3f42477f38856 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:17 p.m.