Triple
T14574752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takaishi |
E342012
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Izumiotsu |
E50976
|
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: Izumiotsu | Statement: [Takaishi, neighboringMunicipality, Izumiotsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Izumiotsu Context triple: [Takaishi, neighboringMunicipality, Izumiotsu]
-
A.
Izumiotsu
chosen
Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
-
B.
Izumi
Izumi is a city located in Osaka Prefecture, Japan, known as a residential and commercial hub in the Kansai region.
-
C.
Izu
Izu is a coastal hot spring resort town on Japan’s Izu Peninsula, known for its scenic beaches, onsen, and natural beauty.
-
D.
Gushikawa
Gushikawa was a former city in Okinawa Prefecture, Japan, that later became part of the modern city of Uruma.
-
E.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb3f49d58819094fcd2a702e146cb |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a5c72008190a3c4df20480850c9 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 1:24 a.m.