Triple
T22533344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東京都港区 |
E557098
|
entity |
| Predicate | containsDistrict |
P22582
|
FINISHED |
| Object | 虎ノ門 |
—
|
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: 虎ノ門 | Statement: [東京都港区, containsDistrict, 虎ノ門]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 虎ノ門 Context triple: [東京都港区, containsDistrict, 虎ノ門]
-
A.
虎ノ門
chosen
虎ノ門は、東京都港区に位置するオフィス街で、官庁や大企業の本社が集積し再開発が進むビジネスエリアです。
-
B.
Tokyo Daishoten
Tokyo Daishoten is a prominent year-end Grade 1 dirt horse race in Japan, attracting top-level competitors from across the country and abroad.
-
C.
Shinjuku Mylord
Shinjuku Mylord is a popular multi-story shopping and dining complex directly connected to Shinjuku Station in Tokyo, known for its fashion boutiques, restaurants, and easy access to surrounding commercial areas.
-
D.
Hakugei
Hakugei is a highly acclaimed steel-hybrid roller coaster in Japan, renowned for its intense airtime, smooth inversions, and innovative track design by Rocky Mountain Construction.
-
E.
Nokyōdō
Nokyōdō is a small, historic hall within the Yamadera temple complex in Yamagata Prefecture, Japan, traditionally used for the stamping and inscription of Buddhist pilgrimage books.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.