Triple

T7911159
Position Surface form Disambiguated ID Type / Status
Subject Girón E183700 entity
Predicate hasRiver P165 FINISHED
Object Río de Oro E692936 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: Río de Oro | Statement: [Girón, hasRiver, Río de Oro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Río de Oro
Context triple: [Girón, hasRiver, Río de Oro]
  • A. Río de Oro
    Río de Oro was a former Spanish colonial territory in northwest Africa that later became part of the disputed region of Western Sahara.
  • B. Río de Oro chosen
    Río de Oro is a river in northeastern Colombia that flows through the Santander region and passes near the city of Bucaramanga.
  • C. Rio Muni
    Rio Muni is the mainland region of Equatorial Guinea, located on the west coast of Central Africa and forming the country's largest and most populous territory.
  • D. Gongola River
    The Gongola River is a major river in northeastern Nigeria that flows through the savanna region before joining the Benue River.
  • E. Bandama River basin
    The Bandama River basin is the largest river drainage system in Côte d'Ivoire, encompassing much of the country's central region and supporting agriculture, settlements, and hydropower.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a725b8c8190a530adb3107a95dd completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:04 p.m.