Triple

T12969155
Position Surface form Disambiguated ID Type / Status
Subject Volta–Niger languages E321347 entity
Predicate containsLanguage P2177 FINISHED
Object Edo E345729 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: Edo | Statement: [Volta–Niger languages, containsLanguage, Edo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edo
Context triple: [Volta–Niger languages, containsLanguage, Edo]
  • A. Edo chosen
    Edo is a historic city in present-day southern Nigeria, renowned as the political and cultural center of the former Benin Kingdom and its sophisticated art and urban civilization.
  • B. Edo
    Edo was the historical name of Japan’s capital during the Tokugawa shogunate, a major political and cultural center that later became modern Tokyo.
  • C. Ashikaga
    Ashikaga was a powerful samurai clan that ruled Japan as shoguns during the Muromachi period (1336–1573).
  • D. Kamakura
    Kamakura is a historic coastal city in Japan renowned for its Great Buddha statue, numerous temples and shrines, and role as the political center of the Kamakura shogunate.
  • E. Nitchō
    Nitchō was a prominent early disciple and priest of the Japanese Buddhist reformer Nichiren, helping to spread and institutionalize Nichiren Buddhism in the 13th century.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e407e5081909424fc0c22483c28 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e6b31c8190b09276003f284f25 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:33 p.m.