Triple

T11433955
Position Surface form Disambiguated ID Type / Status
Subject Ganjin E270956 entity
Predicate honorificTitle P2097 FINISHED
Object Ganjin Wajō E524771 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: Ganjin Wajō | Statement: [Ganjin, honorificTitle, Ganjin Wajō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganjin Wajō
Context triple: [Ganjin, honorificTitle, Ganjin Wajō]
  • A. Ganjin Wajō-den chosen
    Ganjin Wajō-den is a memorial hall at Tōshōdai-ji Temple in Nara, Japan, dedicated to the revered Tang-dynasty monk Ganjin (Jianzhen), who helped establish Buddhism in Japan.
  • B. Sennichimae
    Sennichimae is a bustling entertainment and dining district in central Osaka known for its neon-lit streets, theaters, and casual eateries.
  • C. Shakujii
    Shakujii is a residential district in Nerima, Tokyo, known for its large parks, ponds, and suburban atmosphere.
  • D. Kasuga
    Kasuga is a suburban city in Japan known for its residential communities and proximity to Fukuoka City on Kyushu Island.
  • E. Kasuga
    Kasuga was a Japanese warship active in the late 19th century, notably serving in the Boshin War as part of the modern Imperial forces.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c485f481909dd3d9b0993f3faf completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8ed579c8190b1ddc1dce20d9617 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:35 p.m.