Triple
T15336101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkyō City |
E366668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nezu district |
—
|
NE NERFINISHED |
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: Nezu district | Statement: [Bunkyō City, contains, Nezu district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nezu district Context triple: [Bunkyō City, contains, Nezu district]
-
A.
Nezu district
chosen
Nezu district is a historic neighborhood in Tokyo, Japan, known for its traditional atmosphere, old temples and shrines, and preserved shitamachi (downtown) charm.
-
B.
Ichigaya district
Ichigaya district is a central Tokyo neighborhood known for its government and military institutions, educational facilities, and proximity to the Imperial Palace area.
-
C.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
-
D.
Otsuka district
Otsuka district is a neighborhood in Tokyo, Japan, known for its mix of residential streets, local shopping areas, and convenient rail access.
-
E.
Ebisu district
Ebisu district is a fashionable neighborhood in Tokyo known for its upscale dining, shopping, and nightlife, as well as its convenient access from central Shibuya.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
Created at: April 10, 2026, 3:17 a.m.