Triple
T23469440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harumi |
E569186
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kachidoki |
—
|
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: Kachidoki | Statement: [Harumi, adjacentTo, Kachidoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kachidoki Context triple: [Harumi, adjacentTo, Kachidoki]
-
A.
Kachidoki
chosen
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
B.
Okagaki
Okagaki is a coastal town in Fukuoka Prefecture, Japan, known for its beaches, agricultural products, and role as part of the broader Fukuoka-Kitakyushu urban region.
-
C.
Ebisucho
Ebisucho is a commercial and entertainment district in Osaka’s Naniwa Ward, known for its proximity to Den Den Town and its mix of electronics shops, eateries, and local businesses.
-
D.
Wazuka
Wazuka is a rural town in Kyoto Prefecture, Japan, renowned for its historic tea fields and high-quality Uji tea production.
-
E.
Kachipo
Kachipo are a small ethnic group of South Sudan, traditionally living in remote, mountainous areas and maintaining distinct linguistic and cultural practices.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.