Triple

T30785919

Position	Surface form	Disambiguated ID	Type / Status
Subject	国立文楽劇場	`E783954`	entity
Predicate	所在地	`P40`	FINISHED
Object	大阪府大阪市大阪府大阪市は、日本の近畿地方に位置する大阪府の府庁所在地であり、西日本最大の経済・文化の中心都市です。	`E1934083`	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: 大阪府大阪市 | Statement: [国立文楽劇場, 所在地, 大阪府大阪市]

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: 大阪府大阪市
Triple: [国立文楽劇場, 所在地, 大阪府大阪市]

Generated description

大阪府大阪市は、日本の近畿地方に位置する大阪府の府庁所在地であり、西日本最大の経済・文化の中心都市です。

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_69f224b213c8819083886073f90b647e`	completed	April 29, 2026, 3:33 p.m.
NER	Named-entity recognition	`batch_69f68fe8168c8190b083be0e33988b9c`	completed	May 2, 2026, 11:59 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a28bbd7ecec8190a0e23d9e10aa308d`	completed	June 10, 2026, 1:20 a.m.
NEDg	Description generation	`batch_6a28bed0d2b081908ce9b83837a52b07`	completed	June 10, 2026, 1:33 a.m.
NED2	Entity disambiguation (via description)	`batch_6a28bf6bf59081908328d74d9623314e`	completed	June 10, 2026, 1:35 a.m.

Created at: April 29, 2026, 8:41 p.m.