Triple
T10130551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsurugaoka Hachimangū |
E226325
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Kamakura Station |
E742723
|
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 Station | Statement: [Tsurugaoka Hachimangū, near, Kamakura Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamakura Station Context triple: [Tsurugaoka Hachimangū, near, Kamakura Station]
-
A.
Kamakura Station
chosen
Kamakura Station is a major railway station in Kamakura, Kanagawa Prefecture, Japan, serving as a key access point for tourists visiting the city's historic temples, shrines, and coastal attractions.
-
B.
Yokohama Station
Yokohama Station is one of Japan’s busiest railway hubs, serving numerous JR, private, and subway lines in central Yokohama.
-
C.
Odawara Station
Odawara Station is a major railway hub in Odawara, Kanagawa Prefecture, Japan, served by multiple JR, private, and Shinkansen lines.
-
D.
Taisho Station
Taisho Station is a railway and subway station in Osaka, Japan, serving as a key access point to the nearby Kyocera Dome Osaka stadium.
-
E.
Nagano Station
Nagano Station is a major railway hub in Nagano, Japan, serving as a gateway to the region’s ski resorts, temples, and surrounding mountain areas.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33438988190be45878f98695816 |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a52daf1c81909c586e470a998073 |
completed | May 3, 2026, 1:30 a.m. |
Created at: March 30, 2026, 9:05 p.m.