Triple
T16206981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yui Rail |
E393352
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Urasoe |
E220977
|
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: Urasoe | Statement: [Yui Rail, serves, Urasoe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urasoe Context triple: [Yui Rail, serves, Urasoe]
-
A.
Urasoe
chosen
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.
-
B.
Miyakonojō
Miyakonojō is a city in Miyazaki Prefecture on Japan’s Kyushu island, known for its agriculture and livestock production.
-
C.
Nishinoomote
Nishinoomote is a coastal city on Tanegashima Island in Kagoshima Prefecture, Japan, known for its proximity to Japan’s main space launch facilities and its subtropical island scenery.
-
D.
Nakanoshima
Nakanoshima is a small Japanese island associated with Etajima in Hiroshima Prefecture, known for its coastal scenery and role within the local island group.
-
E.
Nakanoshima
Nakanoshima is a central river island and business district in Osaka, Japan, known for its government buildings, cultural institutions, and scenic waterfront parks.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227101a3c819095ef40e50bf66433 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00078fa2ac8190a0a2cf38bc41498d |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.