Triple
T12141178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hōjō Sōun |
E289185
|
entity |
| Predicate | powerBase |
P404
|
FINISHED |
| Object | Odawara |
E329012
|
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: Odawara | Statement: [Hōjō Sōun, powerBase, Odawara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odawara Context triple: [Hōjō Sōun, powerBase, Odawara]
-
A.
Odawara
chosen
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.
-
B.
Fujisawa
Fujisawa is a Japanese surname borne by various notable individuals in fields such as business, politics, and the arts.
-
C.
Fujisawa
Fujisawa is a coastal city in Kanagawa Prefecture, Japan, known for its beaches, proximity to Enoshima Island, and role as a popular Shōnan resort and commuter hub.
-
D.
Hayama
Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
-
E.
Kamakura
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.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:49 p.m.