Triple
T19182261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkyō |
E469604
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | 文京区 |
—
|
NE NERFINISHED |
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: 文京区 | Statement: [Bunkyō, hasJapaneseName, 文京区]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 文京区 Context triple: [Bunkyō, hasJapaneseName, 文京区]
-
A.
文京区
chosen
文京区 is a central Tokyo ward known for its educational institutions, cultural facilities, and relatively quiet residential character.
-
B.
右京区
右京区は、京都市の西部に位置し、歴史的な寺院や伝統的な街並みが多く残る行政区です。
-
C.
墨田区
墨田区 is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi downtown atmosphere.
-
D.
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.
-
E.
新宿区
新宿区は、東京都心に位置し、日本有数の繁華街・オフィス街・行政機関が集まる主要な特別区です。
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 10, 2026, 12:07 p.m.