Triple
T16207152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Airport Station |
E393355
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Yui Rail |
E393352
|
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: Yui Rail | Statement: [Naha Airport Station, servedBy, Yui Rail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yui Rail Context triple: [Naha Airport Station, servedBy, Yui Rail]
-
A.
Yui Rail
chosen
Yui Rail is an urban monorail system serving Naha and surrounding areas in Okinawa, Japan.
-
B.
Yukie
Yukie is a Japanese film featuring Ken Watanabe in a prominent role.
-
C.
Kimiya Yui
Kimiya Yui is a Japanese astronaut, former Japan Air Self-Defense Force fighter pilot, and JAXA spacefarer who has flown to the International Space Station.
-
D.
Suyasha
Suyasha is a figure from Hindu tradition known primarily as the consort of Nandi, the divine bull and devoted attendant of Lord Shiva.
-
E.
Tsutako
Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
- 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.