Triple
T89894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kansai region |
E1806
|
entity |
| Predicate | hasMajorPort |
P942
|
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: [Kansai region, hasMajorPort, Port of Kobe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Kobe Context triple: [Kansai region, hasMajorPort, 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.
Yokohama
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
C.
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.
-
D.
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.
-
E.
Higashiōsaka
Higashiōsaka is an industrial and residential city in Japan known for its manufacturing base and location within the Osaka metropolitan area.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a383e3575c8190932dcdc25503d06e |
completed | March 1, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3999fcbdc819094de957fb0a50eb8 |
completed | March 1, 2026, 1:42 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.