Triple
T7721232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyako Airport |
E175015
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Miyako Island |
E284898
|
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: Miyako Island | Statement: [Miyako Airport, serves, Miyako Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miyako Island Context triple: [Miyako Airport, serves, Miyako Island]
-
A.
Miyako Island
chosen
Miyako Island is a subtropical Japanese island in the Ryukyu archipelago known for its white-sand beaches, clear turquoise waters, and coral reefs.
-
B.
Takei Island
Takei Island is a small island located within Lake Biwa, Japan’s largest freshwater lake.
-
C.
Ninoshima Island
Ninoshima Island is a small island in Hiroshima Bay, Japan, known for its historical role during World War II and its proximity to the city of Hiroshima.
-
D.
Yumeshima Island
Yumeshima Island is a large artificial island in Osaka Bay, Japan, being developed as a major waterfront district and international event site.
-
E.
Aoshima Island
Aoshima Island is a small, picturesque island off the coast of Miyazaki Prefecture in Japan, famous for its subtropical scenery, Shinto shrine, and unique wave-like rock formations known as the “Devil’s Washboard.”
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f0366c8190a78f0b03f090fc2c |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9129bec8190b3c1471ac8a131ac |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 27, 2026, 4:05 p.m.