Triple

T34857114
Position Surface form Disambiguated ID Type / Status
Subject 櫛稲田姫命 E1004755 entity
Predicate 地域的関連 P12445 FINISHED
Object 出雲国
出雲国は現在の島根県東部を中心とする古代日本の一国で、出雲大社をはじめとする神話・信仰の中心地として知られる地域である。
E2114790 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: 出雲国 | Statement: [櫛稲田姫命, 地域的関連, 出雲国]
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: 出雲国
Triple: [櫛稲田姫命, 地域的関連, 出雲国]
Generated description
出雲国は現在の島根県東部を中心とする古代日本の一国で、出雲大社をはじめとする神話・信仰の中心地として知られる地域である。
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 地域的関連
Context triple: [櫛稲田姫命, 地域的関連, 出雲国]
  • A. 関与地域
    Indicates a geographical area or region that is involved in, affected by, or relevant to a particular activity, event, or relationship.
  • B. 所在地エリア
    Indicates the geographical area or region in which an entity is located or based.
  • C. regionallyAssociatedWith chosen
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • D. typicalGeographicalAssociation
    Indicates a usual or characteristic geographical connection between entities, such as a place commonly associated with a person, group, or phenomenon.
  • E. geographicRelevance
    Indicates that something has a meaningful connection or applicability to a specific geographic area or location.
  • F. None of above.

Provenance (6 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_69f76dba76f0819090643cba102c41ec completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f782f4f10081908f97f6d0d2dbeec7 completed May 3, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37795ac1b48190954842e8cc50d254 completed June 21, 2026, 5:40 a.m.
NEDg Description generation batch_6a377a2e811c8190acdf3e170abca595 completed June 21, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_6a377ac60cd88190b1ea9540346df1c9 completed June 21, 2026, 5:46 a.m.
PD Predicate disambiguation batch_69f780ff71cc8190a67e71076fbad81a completed May 3, 2026, 5:08 p.m.
Created at: May 3, 2026, 4 p.m.