Triple
T19897850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inagawa River |
E478197
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Inagawa, Hyōgo |
—
|
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: Inagawa, Hyōgo | Statement: [Inagawa River, flowsThrough, Inagawa, Hyōgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inagawa, Hyōgo Context triple: [Inagawa River, flowsThrough, Inagawa, Hyōgo]
-
A.
Inagawa, Hyōgo
chosen
Inagawa, Hyōgo is a town in Hyōgo Prefecture, Japan, known for its suburban residential areas, natural surroundings, and role as a commuter town for nearby urban centers.
-
B.
Itami, Hyōgo
Itami, Hyōgo is a city in Japan’s Hyōgo Prefecture best known for hosting Osaka International Airport (commonly called Itami Airport) and for its historical sake-brewing industry.
-
C.
Ichinomiya, Hyōgo
Ichinomiya, Hyōgo was a former town in Hyōgo Prefecture, Japan, that later became part of the city of Awaji through municipal consolidation.
-
D.
Sanda, Hyōgo
Sanda, Hyōgo is a city in Hyōgo Prefecture, Japan, known as a residential and industrial hub within the Kansai region, situated inland near Kobe and Osaka.
-
E.
Habikino, Osaka
Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593ef8dc8190be5b64988eceafac |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.