Triple
T15336068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkyō City |
E366668
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object | Bunkyō-ku |
—
|
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: Bunkyō-ku | Statement: [Bunkyō City, romanization, Bunkyō-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunkyō-ku Context triple: [Bunkyō City, romanization, Bunkyō-ku]
-
A.
Bunkyō-ku
chosen
Bunkyō-ku is a central Tokyo ward known for its universities, cultural institutions, and quiet residential neighborhoods.
-
B.
Chūō-ku
Chūō-ku is a central ward of Osaka, Japan, known as a major commercial and entertainment hub featuring famous landmarks, shopping streets, and nightlife areas.
-
C.
Chūō-ku
Chūō-ku is a central ward of Tokyo, Japan, known as a major commercial and business district that includes areas like Ginza and Nihonbashi.
-
D.
Chūō-ku
Chūō-ku is a central ward of Fukuoka City in Japan, known as a major commercial, entertainment, and administrative hub.
-
E.
Sumiyoshi-ku
Sumiyoshi-ku is one of the 24 wards of Osaka, Japan, known as a primarily residential area with a mix of traditional neighborhoods and urban amenities.
- 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.