Triple
T16519803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 木曽川 |
E401286
|
entity |
| Predicate | nearbyHistoricArea |
P72879
|
FINISHED |
| Object | Kisoji |
—
|
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: Kisoji | Statement: [木曽川, nearbyHistoricArea, Kisoji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisoji Context triple: [木曽川, nearbyHistoricArea, Kisoji]
-
A.
Kisoji
chosen
Kisoji is an old post road in Japan that formed part of the Nakasendō route, linking a series of historic post towns through the Kiso Valley.
-
B.
Kasugo
Kasugo is a specific class or rank within the Philippine Order of Sikatuna, a national honor conferred for distinguished diplomatic service.
-
C.
Kōonji
Kōonji is a Buddhist temple in Japan, known as Temple 61 on the Shikoku Pilgrimage.
-
D.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
-
E.
Kujūkuri
Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:14 a.m.