Triple

T21262795
Position Surface form Disambiguated ID Type / Status
Subject Ciudad Vieja, Montevideo E524046 entity
Predicate locatedNextTo P231 FINISHED
Object Montevideo Bay NE NERFINISHED

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: Montevideo Bay | Statement: [Ciudad Vieja, Montevideo, locatedNextTo, Montevideo Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montevideo Bay
Context triple: [Ciudad Vieja, Montevideo, locatedNextTo, Montevideo Bay]
  • A. Bay of Montevideo chosen
    The Bay of Montevideo is a natural harbor on Uruguay’s southern coast that shelters the capital city and serves as a key hub for maritime trade and port activities.
  • B. Uruguay Bay
    Uruguay Bay is a coastal inlet in Hong Kong associated with the shoreline of Tuen Mun District in the New Territories.
  • C. Bahía de Asunción
    Bahía de Asunción is a bay along the Paraguay River that forms the historic waterfront of Paraguay’s capital, Asunción.
  • D. Bahía Blanca Bay
    Bahía Blanca Bay is a coastal inlet in Argentina known for its extensive tidal flats, ports, and strategic importance for maritime trade and naval activity.
  • E. Bahía Asunción
    Bahía Asunción is a small coastal fishing village and tourist destination on the Pacific coast of Baja California Sur, Mexico.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e9b2788190b834ba38367fb6c7 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 4 p.m.