Triple
T4007391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miebashi Station |
E89557
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | central Naha |
E394993
|
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: central Naha | Statement: [Miebashi Station, serves, central Naha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: central Naha Context triple: [Miebashi Station, serves, central Naha]
-
A.
City of Naha
chosen
The City of Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a historic Ryukyuan cultural center and major regional port.
-
B.
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.
-
C.
Port of Naha
The Port of Naha is a major seaport and transportation hub in Okinawa, Japan, serving as a key gateway for passenger ferries, cargo shipping, and regional trade in the Ryukyu Islands.
-
D.
Urasoe
Urasoe is a coastal city on the island of Okinawa in Japan, known for its historical sites, residential areas, and proximity to the prefectural capital Naha.
-
E.
Minoh
Minoh is a suburban city in northern Osaka Prefecture, Japan, known for its scenic Minoh Waterfall, autumn foliage, and residential communities.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa62d0e081909aaed2978a840734 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c67eddc819097eff878c860f3d5 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.