Triple
T14997205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyazaki City Phoenix Zoo |
E373987
|
entity |
| Predicate | operatedIn |
P40
|
FINISHED |
| Object | Miyazaki, Japan |
E76478
|
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: Miyazaki, Japan | Statement: [Miyazaki City Phoenix Zoo, operatedIn, Miyazaki, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miyazaki, Japan Context triple: [Miyazaki City Phoenix Zoo, operatedIn, Miyazaki, Japan]
-
A.
Miyazaki
Miyazaki is a residential and commercial district within Nishi Ward of Yokohama, Japan.
-
B.
Miyazaki
chosen
Miyazaki is a coastal city on Japan’s Kyushu Island known for its mild climate, beaches, and nearby scenic attractions such as Aoshima Island.
-
C.
Oppama, Japan
Oppama, Japan is an industrial coastal district in Yokosuka, Kanagawa Prefecture, best known for its major Nissan automobile manufacturing plant.
-
D.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
-
E.
Sumoto, Japan
Sumoto is a coastal city on Awaji Island in Hyōgo Prefecture, Japan, known for its hot springs, scenic views of the Seto Inland Sea, and agricultural products such as onions and citrus fruits.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded718e4288190b5e144f82299a194 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae080ef88190a26c4f9b1675f9de |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 2:54 a.m.