Triple
T13452540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JPNGO |
E320645
|
entity |
| Predicate | codeList |
P31582
|
FINISHED |
| Object | UN/LOCODE Japan |
E174
|
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: UN/LOCODE Japan | Statement: [JPNGO, codeList, UN/LOCODE Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UN/LOCODE Japan Context triple: [JPNGO, codeList, UN/LOCODE Japan]
-
A.
ports of Japan
The ports of Japan comprise an extensive network of maritime facilities that support the country’s international trade, fishing, and domestic shipping across its many islands.
-
B.
tzcode
tzcode is the reference implementation of the time zone database, providing libraries and tools for handling time zone conversions and daylight saving time rules on Unix-like systems.
-
C.
Kansai, Japan
Kansai, Japan is a major region in western Honshu known for historic cities like Kyoto, Osaka, and Nara, rich cultural heritage, and significant economic and cultural influence.
-
D.
Japan
chosen
Japan is an East Asian island nation in the Pacific Ocean known for its advanced technology, rich cultural heritage, and major cities such as Tokyo, Osaka, and Kyoto.
-
E.
Japo
Japo is a small settlement located on Arno Atoll in the Marshall Islands.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399c539c819080802b620da6fcfc |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.