Triple

T12215823
Position Surface form Disambiguated ID Type / Status
Subject Enchin E291080 entity
Predicate religiousSchool P2154 FINISHED
Object Tendai E779555 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: Tendai | Statement: [Enchin, religiousSchool, Tendai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tendai
Context triple: [Enchin, religiousSchool, Tendai]
  • A. Tendai chosen
    Tendai is a major school of Japanese Buddhism derived from the Chinese Tiantai tradition, known for its inclusive doctrine centered on the Lotus Sutra and its influential monastic center on Mount Hiei.
  • B. Tenkasi
    Tenkasi is a town in the Indian state of Tamil Nadu, known for its scenic Western Ghats backdrop, historic temples, and growing role as an emerging technology hub.
  • C. Yamadera
    Yamadera is a historic mountainside temple complex in Japan’s Tohoku region, famed for its scenic cliffside halls and panoramic valley views.
  • D. Tenza
    Tenza is a municipality in the Boyacá Department of Colombia, known for its colonial architecture and location in the scenic Tenza Valley.
  • E. Sanggha
    Sanggha is an alternative transliteration of "Sangha," the Buddhist monastic community of monks and nuns regarded as one of the Three Jewels of Buddhism.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa31f548190bd4f8cfe3c55614b completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.