Triple

T16059384

Position	Surface form	Disambiguated ID	Type / Status
Subject	Mount Kōya	`E389565`	entity
Predicate	JapaneseName	`P744`	FINISHED
Object	高野山高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.	`E1191877`	NE FINISHED

How this triple was built (4 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: 高野山 | Statement: [Mount Kōya, JapaneseName, 高野山]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: 高野山
Context triple: [Mount Kōya, JapaneseName, 高野山]

A. 白峯寺
白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
B. 三井寺
三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
C. 法隆寺
法隆寺は、奈良県斑鳩町にある世界最古級の木造建築群を有する仏教寺院です。
D. 八坂寺
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
E. 白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

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: 高野山
Triple: [Mount Kōya, JapaneseName, 高野山]

Generated description

高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: 高野山
Target entity description: 高野山 is a sacred Buddhist monastic complex in Wakayama Prefecture, Japan, and the center of Shingon Buddhism founded by Kūkai.

A. 白峯寺
白峯寺 is a historic Buddhist temple in Kagawa Prefecture, Japan, known as Temple 81 on the Shikoku Pilgrimage.
B. 三井寺
三井寺は、滋賀県大津市にある天台寺門宗の総本山で、琵琶湖近くに位置する歴史ある古刹です。
C. 法隆寺
法隆寺は、奈良県斑鳩町にある世界最古級の木造建築群を有する仏教寺院です。
D. 八坂寺
八坂寺 is a Buddhist temple in Matsuyama, Ehime Prefecture, known as Temple 47 on the Shikoku 88-temple pilgrimage.
E. 白山神社
白山神社は、東京都文京区にある白山信仰の中心的な古社で、紫陽花の名所としても知られる神社です。
F. None of above. chosen

Provenance (5 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_69d86dae698881908327ef2d67706cb9`	completed	April 10, 2026, 3:25 a.m.
NER	Named-entity recognition	`batch_69e1837729e4819086e7429e0a76b0d7`	completed	April 17, 2026, 12:48 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69ffdbe678fc8190b36737a9cd29691c`	completed	May 10, 2026, 1:14 a.m.
NEDg	Description generation	`batch_69ffdd2e0c38819091a57098985fa19e`	completed	May 10, 2026, 1:19 a.m.
NED2	Entity disambiguation (via description)	`batch_69ffde20bd488190a06cedf311e37c80`	completed	May 10, 2026, 1:23 a.m.

Created at: April 10, 2026, 4:57 a.m.