Triple
T8655276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asago |
E205398
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Maruyama River |
E689840
|
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: Maruyama River | Statement: [Asago, hasRiver, Maruyama River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maruyama River Context triple: [Asago, hasRiver, Maruyama River]
-
A.
Maruyama River
chosen
Maruyama River is a major river in northern Hyōgo Prefecture, Japan, known for flowing through Toyooka and supporting the region’s agriculture, ecosystems, and scenic landscapes.
-
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.
Tsuboi River
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.
-
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.
Higuamo River
The Higuamo River is a significant waterway in the Dominican Republic that flows through the eastern region and supports local communities and industry along its banks.
- 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_69ca8350897c819086cde7596fbe5fe7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4844586081909b687e278496eefa |
completed | March 31, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d121cb33188190b5b70020a041c18f |
completed | April 4, 2026, 2:35 p.m. |
Created at: March 30, 2026, 6:29 p.m.