Triple
T23200143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aichi, Japan |
E579983
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Nagoya |
—
|
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: Port of Nagoya | Statement: [Aichi, Japan, hasPort, Port of Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Nagoya Context triple: [Aichi, Japan, hasPort, Port of Nagoya]
-
A.
Port of Nagoya
chosen
The Port of Nagoya is Japan’s busiest and largest trading port, serving as a major hub for automobile exports and international maritime commerce.
-
B.
Port of Tsuruga
The Port of Tsuruga is a key seaport on Japan’s Sea of Japan coast, serving as an important hub for regional trade and ferry connections.
-
C.
Port Messe Nagoya
Port Messe Nagoya is a major convention and exhibition center located in Nagoya, Japan, hosting trade shows, industrial fairs, and large-scale events.
-
D.
Port of Toyohashi
The Port of Toyohashi is a major Japanese seaport in Aichi Prefecture known especially for handling large volumes of automobile and industrial cargo.
-
E.
Port of Yokkaichi
The Port of Yokkaichi is a major industrial and commercial seaport in Mie Prefecture, Japan, known for serving the surrounding petrochemical and manufacturing complexes along Ise Bay.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f19078f28c8190973f1bd6f2bceb5a |
completed | April 29, 2026, 5 a.m. |
Created at: April 17, 2026, 4:06 p.m.