Triple
T12832938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shijo-dori |
E306832
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Kamo River |
E56456
|
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: Kamo River | Statement: [Shijo-dori, crosses, Kamo River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamo River Context triple: [Shijo-dori, crosses, Kamo River]
-
A.
Kamo River
chosen
The Kamo River is a prominent river running through Kyoto, Japan, known for its scenic banks, seasonal cherry blossoms, and role as a central gathering place for locals and visitors.
-
B.
Kamogawa River
The Kamogawa River is a prominent river flowing through Kyoto, Japan, known for its scenic banks lined with traditional teahouses, restaurants, and popular walking paths.
-
C.
Yoshino River
The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
-
D.
Ōhashi River
Ōhashi River is a short but significant river in Matsue, Shimane Prefecture, Japan, connecting Lake Shinji to Nakaumi and shaping the city's scenic waterfront.
-
E.
Arakawa River
The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96fb0bb208190bdc4d3dc7909be06 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff78ad38481908df2338aaf276da9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 9, 2026, 5:34 p.m.