Triple
T10014846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kumamoto |
E199463
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Tsuboi River |
E678229
|
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: Tsuboi River | Statement: [Kumamoto, hasRiver, Tsuboi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsuboi River Context triple: [Kumamoto, hasRiver, Tsuboi River]
-
A.
Tsuboi River
chosen
Tsuboi River is a river flowing through Kumamoto in Japan’s Kyushu region, known for its role in the city’s landscape and local water management.
-
B.
Takahashi River
The Takahashi River is a major river in Okayama Prefecture, Japan, flowing through cities such as Kurashiki before emptying into the Seto Inland Sea.
-
C.
Yoshii River
The Yoshii River is a significant river in Okayama Prefecture, Japan, known for flowing through several cities and supporting local agriculture and ecosystems before emptying into the Seto Inland Sea.
-
D.
Yoshii River
The Yoshii River is a significant river in Japan that serves as one of the main tributaries feeding the larger Shinano River system.
-
E.
Hijikawa River
The Hijikawa River is a major river in Ehime Prefecture on Japan’s Shikoku Island, known for flowing through several towns and supporting local agriculture and ecosystems.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd49b19c8190b429e3533d072648 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343941ae481909489cf7a4abdba68 |
completed | April 18, 2026, 8:40 a.m. |
Created at: March 30, 2026, 8:52 p.m.