Triple
T7715153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 和光市 |
E174860
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Shingashi River |
E652582
|
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: Shingashi River | Statement: [和光市, hasRiver, Shingashi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shingashi River Context triple: [和光市, hasRiver, Shingashi River]
-
A.
Shingashi River
chosen
The Shingashi River is a scenic waterway in Saitama Prefecture, Japan, known for flowing through the historic castle town of Kawagoe and its popular cherry blossom viewing spots.
-
B.
Shinmachi River
The Shinmachi River is a central waterway flowing through Tokushima City in Japan, known for its riverside promenades, sightseeing cruises, and role in local festivals.
-
C.
Shukugawa River
The Shukugawa River is a scenic river in Hyōgo Prefecture, Japan, famed for its cherry blossom-lined banks that attract many visitors during hanami season.
-
D.
Asakawa River
Asakawa River is a river in Tokyo, Japan, that flows through the city of Hachiōji and serves as a local natural and recreational area.
-
E.
Osuga River
The Osuga River is a watercourse in Russia that flows through the Tver Oblast region, passing near the village of Pryamukhino.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702cbe74081908502ac670515fa3c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c925264798819096e154ffa23ddfae |
completed | March 29, 2026, 1:12 p.m. |
Created at: March 27, 2026, 4:04 p.m.