Triple

T29125616

Position	Surface form	Disambiguated ID	Type / Status
Subject	Nishi Chaya District	`E738217`	entity
Predicate	hasMuseumOrCenter	`P37091`	FINISHED
Object	Nishi Chaya Shiryokan Museum Nishi Chaya Shiryokan Museum is a small cultural museum in Kanazawa that showcases the history, architecture, and geisha culture of the traditional Nishi Chaya teahouse district.	`E1857205`	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: Nishi Chaya Shiryokan Museum | Statement: [Nishi Chaya District, hasMuseumOrCenter, Nishi Chaya Shiryokan Museum]

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: Nishi Chaya Shiryokan Museum
Triple: [Nishi Chaya District, hasMuseumOrCenter, Nishi Chaya Shiryokan Museum]

Generated description

Nishi Chaya Shiryokan Museum is a small cultural museum in Kanazawa that showcases the history, architecture, and geisha culture of the traditional Nishi Chaya teahouse district.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasMuseumOrCenter
Context triple: [Nishi Chaya District, hasMuseumOrCenter, Nishi Chaya Shiryokan Museum]

A. hasMuseumAt chosen
Indicates that a museum is located at or exists in a specified place or location.
B. hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
C. hasMuseumCluster
Indicates that one entity contains, hosts, or is associated with a group or network of museums as a clustered unit.
D. hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
E. hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
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_69f07cb29cdc8190afa55444553de60c`	completed	April 28, 2026, 9:24 a.m.
NER	Named-entity recognition	`batch_69f7805ce6208190ac6dbd9c97989978`	completed	May 3, 2026, 5:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_6a2569aa6718819086862149d51173b6`	completed	June 7, 2026, 12:52 p.m.
NEDg	Description generation	`batch_6a25749efd7c8190aad9ffde8b82c7c8`	completed	June 7, 2026, 1:39 p.m.
NED2	Entity disambiguation (via description)	`batch_6a2578b1705c819080cad536b55277ec`	completed	June 7, 2026, 1:57 p.m.
PD	Predicate disambiguation	`batch_69f77956ec648190ba4fb7e9d83fd107`	completed	May 3, 2026, 4:35 p.m.

Created at: April 28, 2026, 11:28 a.m.