Triple

T36066429
Position Surface form Disambiguated ID Type / Status
Subject 神社本庁 E1043243 entity
Predicate 下部組織形態 P184541 FINISHED
Object 都道府県神社庁
都道府県神社庁は、日本各都道府県において神社本庁に所属する神社を統括・指導する地方組織です。
 E2166342 NE FINISHED

How this triple was built (3 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: 都道府県神社庁 | Statement: [神社本庁, 下部組織形態, 都道府県神社庁]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 都道府県神社庁
Triple: [神社本庁, 下部組織形態, 都道府県神社庁]
Generated description
都道府県神社庁は、日本各都道府県において神社本庁に所属する神社を統括・指導する地方組織です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 下部組織形態
Context triple: [神社本庁, 下部組織形態, 都道府県神社庁]
  • A. 構造種別
    Indicates the classification of how something is structured or constructed, distinguishing between different types or forms of structure.
  • B. 運用形態
    Indicates the manner or mode in which something is operated, utilized, or deployed.
  • C. 研究形態
    Indicates the manner or form in which research is conducted or organized.
  • D. 使用形態
    Indicates a relationship where an entity employs or utilizes a particular form, style, or mode of use.
  • E. limbMorphology
    Indicates the structural form, shape, and configuration of an organism’s limbs in relation to its body.
  • F. None of above. chosen

Provenance (7 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_69f76e2fd3248190b900d9a492bf5a7a completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b35e32d481909ef0220e6f6ff4a8 completed May 3, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cbab52648190803a1e6414443af7 completed June 22, 2026, 5:44 a.m.
NEDg Description generation batch_6a38cc219ad4819081fec325b458005f completed June 22, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_6a38ccfbece08190be296926289702b2 completed June 22, 2026, 5:49 a.m.
PD Predicate disambiguation batch_69f7b1bad2e88190963ab4ee5d4f2038 completed May 3, 2026, 8:36 p.m.
PDg Predicate description generation batch_69f7b2c66054819083897e25edb65ba7 completed May 3, 2026, 8:40 p.m.
Created at: May 3, 2026, 4:08 p.m.