Triple
T18613759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa Station area |
E454964
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Sengakuji area |
—
|
NE NERFINISHED |
How this triple was built (3 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: Sengakuji area | Statement: [Shinagawa Station area, nearbyArea, Sengakuji area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sengakuji area Context triple: [Shinagawa Station area, nearbyArea, Sengakuji area]
-
A.
Shitenno-ji area
The Shitenno-ji area is a historic district in Osaka centered around Shitenno-ji Temple, one of Japan’s oldest Buddhist temples, and is known for its traditional atmosphere and cultural landmarks.
-
B.
Murasakino area
The Murasakino area is a historic neighborhood in Kyoto’s Kita Ward known for its traditional streetscapes, temples, and residential districts that reflect the city’s classical atmosphere.
-
C.
Shinjuku Gyoen area
The Shinjuku Gyoen area is a central Tokyo district known for the expansive Shinjuku Gyoen National Garden, a popular urban oasis featuring traditional Japanese, English, and French-style landscapes amid the surrounding city.
-
D.
Kawaramachi area
The Kawaramachi area is a bustling commercial and entertainment district in central Kyoto known for its shopping streets, restaurants, and proximity to traditional nightlife alleys like Pontocho.
-
E.
Kamigamo area
Kamigamo area is a historic district in northern Kyoto best known for the ancient Kamigamo Shrine and its surrounding traditional scenery.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sengakuji area Target entity description: The Sengakuji area is a historic district in Tokyo best known for Sengaku-ji Temple, the burial site of the Forty-seven Ronin, and its proximity to major transport hubs like Shinagawa.
-
A.
Shitenno-ji area
The Shitenno-ji area is a historic district in Osaka centered around Shitenno-ji Temple, one of Japan’s oldest Buddhist temples, and is known for its traditional atmosphere and cultural landmarks.
-
B.
Murasakino area
The Murasakino area is a historic neighborhood in Kyoto’s Kita Ward known for its traditional streetscapes, temples, and residential districts that reflect the city’s classical atmosphere.
-
C.
Shinjuku Gyoen area
The Shinjuku Gyoen area is a central Tokyo district known for the expansive Shinjuku Gyoen National Garden, a popular urban oasis featuring traditional Japanese, English, and French-style landscapes amid the surrounding city.
-
D.
Kawaramachi area
The Kawaramachi area is a bustling commercial and entertainment district in central Kyoto known for its shopping streets, restaurants, and proximity to traditional nightlife alleys like Pontocho.
-
E.
Kamigamo area
Kamigamo area is a historic district in northern Kyoto best known for the ancient Kamigamo Shrine and its surrounding traditional scenery.
- F. None of above. chosen
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d03feb88190bbd8889273d82f7f |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.