Triple
T399848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osaka Bay |
E9254
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Kobe |
E28753
|
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: Port of Kobe | Statement: [Osaka Bay, hasPort, Port of Kobe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Kobe Context triple: [Osaka Bay, hasPort, Port of Kobe]
-
A.
Port of Kobe
chosen
The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
-
B.
Port of Osaka
The Port of Osaka is a major Japanese seaport and logistics hub serving the Kansai region, handling international trade, passenger ferries, and cruise ships.
-
C.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
D.
Kobe Port Tower
Kobe Port Tower is a distinctive red steel observation tower and symbol of Kobe’s waterfront, offering panoramic views of the city and harbor.
-
E.
Osaka
Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8e655c819081eff85c0ef55fa5 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43e6cf1048190abf3f13ba35a3980 |
completed | March 1, 2026, 1:26 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.