Triple

T37864738

Position	Surface form	Disambiguated ID	Type / Status
Subject	嵐電（京福電気鉄道嵐山本線）	`E944439`	entity
Predicate	所在地	`P40`	FINISHED
Object	京都府京都市京都府京都市は、日本の本州中部に位置し、長い歴史と多くの寺社仏閣・伝統文化で知られる京都府の県庁所在地の都市である。	`E2245974`	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: 京都府京都市 | Statement: [嵐電（京福電気鉄道嵐山本線）, 所在地, 京都府京都市]

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: 京都府京都市
Triple: [嵐電（京福電気鉄道嵐山本線）, 所在地, 京都府京都市]

Generated description

京都府京都市は、日本の本州中部に位置し、長い歴史と多くの寺社仏閣・伝統文化で知られる京都府の県庁所在地の都市である。

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_69f76eee2f9c8190b1272aa2ee55ebf5`	completed	May 3, 2026, 3:51 p.m.
NER	Named-entity recognition	`batch_69fbb27cba28819093a8ed7a721ecae2`	completed	May 6, 2026, 9:28 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a410422d2808190b97cc5270f4aa09d`	completed	June 28, 2026, 11:23 a.m.
NEDg	Description generation	`batch_6a4104af9ac88190a7ffe368c46f0f8d`	completed	June 28, 2026, 11:25 a.m.
NED2	Entity disambiguation (via description)	`batch_6a41052129a08190a8e4d598dcd259b2`	completed	June 28, 2026, 11:27 a.m.

Created at: May 3, 2026, 4:19 p.m.