Triple
T16227687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taihaku-ku |
E393894
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Murata, Miyagi |
E1200852
|
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: Murata, Miyagi | Statement: [Taihaku-ku, borderedBy, Murata, Miyagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murata, Miyagi Context triple: [Taihaku-ku, borderedBy, Murata, Miyagi]
-
A.
Ōshū, Iwate
Ōshū, Iwate is a city in Iwate Prefecture, Japan, known for its historical sites, agricultural production, and scenic rural landscapes.
-
B.
Yonezawa, Yamagata
Yonezawa, Yamagata is a city in Yamagata Prefecture, Japan, known for its historic castle town heritage, Yonezawa beef, and connections to the Uesugi samurai clan.
-
C.
Kawasaki, Miyagi
chosen
Kawasaki, Miyagi is a rural town in Miyagi Prefecture, Japan, known for its mountainous terrain, hot springs, and proximity to the city of Sendai.
-
D.
Misawa, Aomori
Misawa, Aomori is a city in northern Japan’s Aomori Prefecture known for hosting Misawa Air Base, a major U.S.–Japan military installation.
-
E.
Ichinoseki, Iwate
Ichinoseki, Iwate is a city in southern Iwate Prefecture, Japan, known as a regional hub with historical sites and access to scenic areas such as the Geibi Gorge.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2785f88190ae80d5d61129d3e5 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed55a7c8190b4bc8bc325a5da5b |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.