Triple
T7851978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shōnan |
E182077
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Kamakura |
E319571
|
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: Kamakura | Statement: [Shōnan, hasPart, Kamakura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamakura Context triple: [Shōnan, hasPart, Kamakura]
-
A.
Kamakura
chosen
Kamakura is a historic coastal city in Japan renowned for its Great Buddha statue, numerous temples and shrines, and role as the political center of the Kamakura shogunate.
-
B.
Odawara
Odawara is a coastal city in Kanagawa Prefecture, Japan, known for its historic Odawara Castle and role as a strategic post town along historic and modern transportation routes.
-
C.
Akishima
Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
-
D.
Dazaifu
Dazaifu is a historic city in Fukuoka Prefecture, Japan, known for its ancient government offices and the famous Dazaifu Tenmangū shrine dedicated to scholar-statesman Sugawara no Michizane.
-
E.
Matsumoto
Matsumoto is a historic city in central Japan best known for its well-preserved Matsumoto Castle and as a gateway to the scenic Japanese Alps.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ec48548190960bd564a60effa8 |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f018324bf88190bcd2bf168b1065d3 |
completed | April 28, 2026, 2:15 a.m. |
Created at: March 30, 2026, 4:51 p.m.