Triple

T3111754
Position Surface form Disambiguated ID Type / Status
Subject Babahoyo River E64966 entity
Predicate namedAfter P63 FINISHED
Object city of Babahoyo E244448 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: city of Babahoyo | Statement: [Babahoyo River, namedAfter, city of Babahoyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Babahoyo
Context triple: [Babahoyo River, namedAfter, city of Babahoyo]
  • A. Babahoyo chosen
    Babahoyo is a city in western Ecuador that serves as the capital of Los Ríos Province and an important agricultural and commercial center.
  • B. San Pedro de la Paz
    San Pedro de la Paz is a Chilean city located across the Biobío River from Concepción, known as a residential and commuter community within the Greater Concepción metropolitan area.
  • C. Cuenca
    Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
  • D. San Ignacio de Moxos
    San Ignacio de Moxos is a historic town in Bolivia’s Amazonian lowlands known for its Jesuit mission heritage and vibrant indigenous Moxeño culture and festivals.
  • E. Surquillo
    Surquillo is a densely populated urban district of Lima, Peru, known for its residential neighborhoods, markets, and proximity to the upscale area of Miraflores.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43b0b3c8190a828c9cfcf730ed9 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224c9ecd481909198bb0a6c0c31e8 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.