Triple
T16124323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jōzankei Onsen |
E391226
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Jōzankei Dam |
E762955
|
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: Jōzankei Dam | Statement: [Jōzankei Onsen, hasAttraction, Jōzankei Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jōzankei Dam Context triple: [Jōzankei Onsen, hasAttraction, Jōzankei Dam]
-
A.
Jōzankei Dam
chosen
Jōzankei Dam is a concrete gravity dam on the Toyohira River in Sapporo, Japan, known for flood control, water supply, and its scenic reservoir surrounded by hot spring resorts.
-
B.
Nagayasuguchi Dam
Nagayasuguchi Dam is a hydroelectric dam located on Japan’s Yoshino River, used primarily for power generation and flood control.
-
C.
Kindaruma Dam
Kindaruma Dam is one of Kenya’s major hydroelectric power stations on the Tana River, contributing significantly to the country’s electricity generation.
-
D.
Hoheikyo Dam
Hoheikyo Dam is a concrete arch dam in the mountainous outskirts of Sapporo, Japan, known for its scenic reservoir, autumn foliage, and nearby hot spring resorts.
-
E.
Shimen Dam
Shimen Dam is a major concrete gravity dam in northern Taiwan that provides water supply, flood control, and hydroelectric power as part of the Shimen Reservoir system.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020342988190add65c784b8ee179 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2a9db848190bafb959bd7511246 |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5 a.m.