Triple

T37913673
Position Surface form Disambiguated ID Type / Status
Subject 曹洞宗 E945751 entity
Predicate 宗派本部所在地 P132651 FINISHED
Object 日本 LITERAL 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: 日本 | Statement: [曹洞宗, 宗派本部所在地, 日本]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 宗派本部所在地
Context triple: [曹洞宗, 宗派本部所在地, 日本]
  • A. 宗派本山
    Indicates a relationship where a religious sect or school is associated with, or headquartered at, a particular main temple or principal mountain temple.
  • B. mainMonasteryLocation chosen
    Indicates the place where a religious order’s primary or central monastery is situated.
  • C. hasMainMonasteryInExile
    Indicates that an entity’s primary monastery is located outside its original or traditional homeland, in a place of exile.
  • D. mainMonasteryCountry
    Indicates the country in which a monastery’s primary or main location is situated.
  • E. monasteryAffiliation
    Indicates a relationship where an entity is formally associated with, belongs to, or is under the authority of a particular monastery.
  • F. None of above.

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_69f76ef2ebd88190be5229f2621070b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fbc36ce1f88190a7fa1656b714e107 completed May 6, 2026, 10:40 p.m.
PD Predicate disambiguation batch_69fbbd166a488190b1bf9316b0790801 completed May 6, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:20 p.m.