Triple
T12594704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mito |
E300703
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Naka River |
E285325
|
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: Naka River | Statement: [Mito, hasRiver, Naka River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naka River Context triple: [Mito, hasRiver, Naka River]
-
A.
Naka River
chosen
Naka River is a river in Japan known for lending its name to the Imperial Japanese Navy light cruiser Naka.
-
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.
Honami River
Honami River is a local waterway flowing through Iizuka in Fukuoka Prefecture, Japan, contributing to the area's landscape and drainage system.
-
D.
Waki River
The Waki River is a significant waterway in the Guiana region that serves as an important tributary within the Maroni River basin.
-
E.
Nakatsu River
The Nakatsu River is a river in Japan that flows through the city of Morioka in Iwate Prefecture, contributing to the region’s natural landscape and waterways.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954cde3c0819094e74413d6dcf548 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa92635b08190a333702bec5b94e9 |
completed | May 9, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:08 p.m.