Triple
T16059530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naminoue Beach |
E389569
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Naha City |
E1160390
|
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: Naha City | Statement: [Naminoue Beach, partOf, Naha City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naha City Context triple: [Naminoue Beach, partOf, 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.
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.
-
E.
Nago
Nago is a coastal city in northern Okinawa, Japan, known for its beaches, subtropical climate, and role as a regional commercial and cultural center.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837729e4819086e7429e0a76b0d7 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffeb8b1b2c8190949943b20f2f8574 |
completed | May 10, 2026, 2:20 a.m. |
Created at: April 10, 2026, 4:57 a.m.