Triple

T19609901
Position Surface form Disambiguated ID Type / Status
Subject Santo Domingo de Guzmán E470702 entity
Predicate locatedOn P40 FINISHED
Object Ozama River 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: Ozama River | Statement: [Santo Domingo de Guzmán, locatedOn, Ozama River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozama River
Context triple: [Santo Domingo de Guzmán, locatedOn, Ozama River]
  • A. Ozama River chosen
    The Ozama River is a major waterway in the Dominican Republic that flows through the capital city of Santo Domingo and into the Caribbean Sea.
  • B. Oya River
    The Oya River is a river in Sarawak, Malaysia, that flows through coastal lowlands and supports local communities with fishing, transport, and agriculture.
  • C. Iya River
    The Iya River is a Siberian waterway in Russia that serves as a tributary of the Angara River, contributing to the region’s extensive Yenisei basin river system.
  • D. Sei River
    The Sei River is a smaller watercourse in western India that feeds into the Sabarmati River within the arid and semi-arid landscape of Rajasthan and Gujarat.
  • E. Okano River
    The Okano River is a significant river in Gabon that serves as one of the principal tributaries feeding the Ogooué River system.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ca57a081909c05000fca52271f completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.