Triple
T8185863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ise Bay |
E191180
|
entity |
| Predicate | nearCity |
P350
|
FINISHED |
| Object | Kuwana |
E322437
|
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: Kuwana | Statement: [Ise Bay, nearCity, Kuwana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuwana Context triple: [Ise Bay, nearCity, Kuwana]
-
A.
Kuwana
chosen
Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
-
B.
Gushikawa
Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
-
C.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
D.
Tatsuno
Tatsuno is a city in western Japan known for its traditional soy sauce production and historic townscape within Hyogo Prefecture.
-
E.
Kōgō
Kōgō is the Japanese term used to refer to the empress consort of Japan.
- 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_69ca82c5b6948190a583c096fb0a6c71 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c52407c8190bd366fce6d4e02cd |
completed | March 31, 2026, 4:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeace262881909dedeb1a07e95279 |
completed | April 3, 2026, 4:29 p.m. |
Created at: March 30, 2026, 5:41 p.m.