Triple
T22851932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsuboya ware |
E566374
|
entity |
| Predicate | producedIn |
P3992
|
FINISHED |
| Object | Naha City |
—
|
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: Naha City | Statement: [Tsuboya ware, producedIn, Naha City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naha City Context triple: [Tsuboya ware, producedIn, Naha City]
-
A.
Naha City
chosen
Naha City is the capital of Okinawa Prefecture in Japan, known for its rich Ryukyuan cultural heritage, historic sites, and vibrant urban center.
-
B.
Okinawa City
Okinawa City is a major urban center on Japan’s Okinawa Island, known for its cultural diversity, U.S. military presence, and vibrant music and entertainment scene.
-
C.
Uruma City
Uruma City is a municipality in central Okinawa, Japan, known for its coastal scenery, historical sites, and role as a local cultural and administrative center.
-
D.
Nanjo
Nanjo is a coastal city in southern Okinawa, Japan, known for its scenic landscapes, historic sites, and role as part of the greater Naha metropolitan area.
-
E.
Kaga City
Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
Created at: April 17, 2026, 3:36 p.m.