Triple

T14284821

Position	Surface form	Disambiguated ID	Type / Status
Subject	港区	`E354141`	entity
Predicate	borderedBy	`P224`	FINISHED
Object	江東区江東区は東京都東部に位置し、東京湾に面した臨海部と下町情緒の残る住宅・商業地を併せ持つ特別区です。	`E1090677`	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: 江東区 | Statement: [港区, borderedBy, 江東区]

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

Target entity: 江東区
Context triple: [港区, borderedBy, 江東区]

A. 千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
B. 荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
C. Bunkyō-ku
Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
D. 台東区
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
E. 神奈川第15区
神奈川第15区は、主に自民党の有力政治家・河野太郎の地盤として知られる神奈川県内の衆議院小選挙区である。
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: 江東区
Triple: [港区, borderedBy, 江東区]

Generated description

江東区は東京都東部に位置し、東京湾に面した臨海部と下町情緒の残る住宅・商業地を併せ持つ特別区です。

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

Target entity: 江東区
Target entity description: 江東区は東京都東部に位置し、東京湾に面した臨海部と下町情緒の残る住宅・商業地を併せ持つ特別区です。

A. 千代田区
千代田区 is a central special ward of Tokyo that serves as Japan’s political and administrative core, encompassing the Imperial Palace, the National Diet, and numerous government and corporate headquarters.
B. 荒川区
荒川区は、東京都東部に位置し、下町情緒と住宅地・商業地が混在する特別区の一つです。
C. Bunkyō-ku
Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
D. 台東区
台東区は東京都東部に位置し、上野や浅草などの歴史的観光地や文化施設が集まる下町エリアとして知られる特別区です。
E. 神奈川第15区
神奈川第15区は、主に自民党の有力政治家・河野太郎の地盤として知られる神奈川県内の衆議院小選挙区である。
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_69d8278d25148190abf1a8c8f5f533ad`	completed	April 9, 2026, 10:26 p.m.
NER	Named-entity recognition	`batch_69de697ef40c8190bea37724b28c2e99`	completed	April 14, 2026, 4:21 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69fd3d1a6d8081908e857143c0c809c0`	completed	May 8, 2026, 1:32 a.m.
NEDg	Description generation	`batch_69fd3da6f0648190876dd86dd51e72cc`	completed	May 8, 2026, 1:34 a.m.
NED2	Entity disambiguation (via description)	`batch_69fd3e30868481908b55b368ab45c7fb`	completed	May 8, 2026, 1:36 a.m.

Created at: April 10, 2026, 1:10 a.m.