Triple
T16045774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyagino-ku |
E389213
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Izumi-ku |
—
|
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: Izumi-ku | Statement: [Miyagino-ku, borderedBy, Izumi-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izumi-ku Context triple: [Miyagino-ku, borderedBy, Izumi-ku]
-
A.
Izumi-ku
chosen
Izumi-ku is a northern residential and commercial ward of Sendai in Miyagi Prefecture, Japan, known for its suburban neighborhoods and shopping centers.
-
B.
Nishinari-ku
Nishinari-ku is a ward in Osaka, Japan, known for its dense urban environment, working-class neighborhoods, and historically being one of the city's poorest districts.
-
C.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
D.
Iwatsuki-ku
Iwatsuki-ku is a ward of Saitama City in Saitama Prefecture, Japan, known historically for its traditional doll-making industry.
-
E.
Yahatahigashi-ku
Yahatahigashi-ku is one of the seven wards of Kitakyushu City in Fukuoka Prefecture, Japan, known as a primarily residential and industrial area.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835dd9a0819087e362cf5770232a |
completed | April 17, 2026, 12:48 a.m. |
Created at: April 10, 2026, 4:56 a.m.