Triple
T9048402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawanishi, Hyōgo Prefecture |
E216816
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Muko River |
E602833
|
NE FINISHED |
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: Muko River | Statement: [Kawanishi, Hyōgo Prefecture, hasRiver, Muko River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muko River Context triple: [Kawanishi, Hyōgo Prefecture, hasRiver, Muko River]
-
A.
Muko River
chosen
The Muko River is a river in Japan’s Hyōgo Prefecture that flows through urban areas such as Takarazuka before joining larger water systems near Osaka Bay.
-
B.
Muksu River
The Muksu River is a glacially fed mountain river in Tajikistan that flows through the Pamir-Alay ranges and forms one of the main headwaters of the Vakhsh River.
-
C.
Mikuma River
Mikuma River is a river in Ōita Prefecture, Japan, known for flowing through the city of Hita and for its traditional cormorant fishing and scenic riverside views.
-
D.
Lukusashi River
The Lukusashi River is a significant tributary waterway in Zambia that feeds into the larger Luangwa River system.
-
E.
Tuichi River
The Tuichi River is a waterway in northern Bolivia that flows through the biodiverse Madidi National Park before joining the Beni River in the Amazon Basin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fa545b8819092809c605542476a |
completed | April 9, 2026, 7:05 a.m. |
Created at: March 30, 2026, 7:09 p.m.