Triple
T3308283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinjuku |
E69504
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Omoide Yokochō |
E301668
|
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: Omoide Yokochō | Statement: [Shinjuku, hasPart, Omoide Yokochō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omoide Yokochō Context triple: [Shinjuku, hasPart, Omoide Yokochō]
-
A.
Omoide Yokocho
chosen
Omoide Yokocho is a narrow, atmospheric alleyway in Shinjuku famed for its tiny yakitori bars, izakayas, and nostalgic postwar Tokyo vibe.
-
B.
Aoi no Ue
Aoi no Ue is a noblewoman and the first principal wife of Prince Genji in the classic Japanese literary work "The Tale of Genji."
-
C.
Hieda no Are
Hieda no Are was a Japanese court reciter traditionally credited with memorizing the oral histories that formed the basis of the early 8th-century chronicle Kojiki.
-
D.
Aishō
Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
-
E.
Shinshukyo
Shinshukyo refers to Japan’s “new religions,” a diverse group of modern religious movements that emerged mainly from the late 19th century onward, often blending Shinto, Buddhist, and other spiritual elements.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0cc15088190b51c311c6590df04 |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3edc0c081908a7f5c02fe18584b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.