Triple

T8746668
Position Surface form Disambiguated ID Type / Status
Subject Evinayong E207845 entity
Predicate partOf P40 FINISHED
Object Río Muni E34972 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 Muni | Statement: [Evinayong, partOf, Río Muni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Río Muni
Context triple: [Evinayong, partOf, Río Muni]
  • A. Río Muni chosen
    Río 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.
  • B. Guamá
    Guamá was a Taíno chieftain in Cuba who led one of the earliest recorded indigenous resistance movements against Spanish colonial rule in the early 16th century.
  • C. Puerto Morazán
    Puerto Morazán is a coastal town and port in northwestern Nicaragua situated along the Gulf of Fonseca, known for its fishing and maritime activities.
  • D. San Cristóbal
    San Cristóbal is a locality situated within Colombia’s Bolívar Department, known as part of the Caribbean region of the country.
  • E. San Cristóbal
    San Cristóbal is a municipality in western Cuba located within Artemisa Province.
  • 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d75e7c88190a9e78fadb979e1b6 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf518750948190a42ad8fc352ac851 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:39 p.m.