Triple

T16728642
Position Surface form Disambiguated ID Type / Status
Subject Dengyō Daishi E406527 entity
Predicate teacherOf P48 FINISHED
Object Enchin E291080 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: Enchin | Statement: [Dengyō Daishi, teacherOf, Enchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enchin
Context triple: [Dengyō Daishi, teacherOf, Enchin]
  • A. Enchin chosen
    Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
  • B. Uchinaaguchi
    Uchinaaguchi is the indigenous Ryukyuan language traditionally spoken in Okinawa Island, distinct from standard Japanese in its vocabulary, grammar, and pronunciation.
  • C. Chikushino
    Chikushino is a city in southwestern Japan known as a residential and commercial hub within the Fukuoka metropolitan area.
  • D. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • E. Bouyon
    Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38749baa48190892b2e2b978f6eb6 completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a519a89081909456bb6fc25d9234 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:20 a.m.