Triple
T16207011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yui Rail |
E393352
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Shuri area |
E393356
|
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: Shuri area | Statement: [Yui Rail, connects, Shuri area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shuri area Context triple: [Yui Rail, connects, Shuri area]
-
A.
Shuri area
chosen
The Shuri area is a historic district in Naha, Okinawa, best known for the UNESCO-listed Shuri Castle and its role as the former royal capital of the Ryukyu Kingdom.
-
B.
Makishi area
The Makishi area is a lively district in Naha, Okinawa, known for its traditional markets, local eateries, and shops that showcase Okinawan culture and crafts.
-
C.
Kameari area
Kameari area is a neighborhood in Tokyo’s Katsushika ward, known for its traditional shitamachi atmosphere and as the setting of the long-running manga series "Kochira Katsushika-ku Kameari Kōen-mae Hashutsujo."
-
D.
Kurama area
Kurama area is a mountainous district in northern Kyoto famed for its historic Kurama-dera temple, hot springs, and scenic hiking trails.
-
E.
Honmura area
Honmura area is a traditional village district on Japan’s Naoshima Island known for its narrow streets, old houses, and art installations integrated into everyday spaces.
- 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.