Triple

T12445018
Position Surface form Disambiguated ID Type / Status
Subject Nichiren E297376 entity
Predicate birthPlace P1 FINISHED
Object Awa Province E983637 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: Awa Province | Statement: [Nichiren, birthPlace, Awa Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Awa Province
Context triple: [Nichiren, birthPlace, Awa Province]
  • A. Awa Province chosen
    Awa Province was a historical region of Japan on the island of Honshu, notable in Buddhist history as the birthplace of Nichiren’s public propagation of his teachings.
  • B. Serua Province
    Serua Province is an administrative region on the island of Viti Levu in Fiji, known for its coastal villages, traditional chiefly systems, and mix of rural landscapes.
  • C. Tata Province
    Tata Province is an administrative region in southern Morocco known for its desert landscapes, oases, and Berber cultural heritage.
  • D. Ichilo Province
    Ichilo Province is an administrative subdivision in the northern part of Bolivia’s Santa Cruz Department, known for its tropical lowlands and agricultural activities.
  • E. Luapula Province
    Luapula Province is a region in northern Zambia known for its significant Bemba population, abundant rivers and lakes, and rich fishing and agricultural activities.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8fd9848190a83410353d88ea8d completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718723bc8190987fa56147712851 completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:55 p.m.