Triple
T18383547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shingoda River |
E446518
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Shingoda River |
—
|
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: Shingoda River | Statement: [Shingoda River, hasName, Shingoda River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shingoda River Context triple: [Shingoda River, hasName, Shingoda River]
-
A.
Shingoda River
chosen
The Shingoda River is a watercourse in western India that flows through Gujarat’s Gir National Park, supporting its diverse wildlife and forest ecosystem.
-
B.
Warashina River
Warashina River is a regional river in Shizuoka Prefecture, Japan, that flows through Shizuoka City and contributes to its local watershed and landscape.
-
C.
Takkaze River
The Takkaze River is a major river in the Horn of Africa that flows through the Ethiopian and Eritrean highlands, forming part of the border between the two countries before joining the Atbarah River.
-
D.
Koyoshi River
The Koyoshi River is a river in Akita Prefecture, Japan, known for flowing through the city of Yurihonjō before emptying into the Sea of Japan.
-
E.
Dokawa River
Dokawa River is a river flowing through the city of Fukuchiyama in Kyoto Prefecture, Japan.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5179da1048190944398e229e7a4c1 |
completed | April 19, 2026, 5:57 p.m. |
Created at: April 10, 2026, 10:45 a.m.