Triple
T11934250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | hasEnglishName |
P3437
|
FINISHED |
| Object | Bunkyo Ward |
E1103913
|
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: Bunkyo Ward | Statement: [文京区, hasEnglishName, Bunkyo Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bunkyo Ward Context triple: [文京区, hasEnglishName, Bunkyo Ward]
-
A.
Katsushika Ward
Katsushika Ward is a special ward in northeastern Tokyo, Japan, known for its traditional shitamachi atmosphere, residential neighborhoods, and role as a transit-connected suburb of the capital.
-
B.
Kōtō ward
Kōtō ward is a special ward in eastern Tokyo known for its mix of traditional shitamachi neighborhoods, waterfront areas, and modern residential and commercial districts.
-
C.
Bunkyō ward
chosen
Bunkyō ward is a central Tokyo district known for its universities, cultural institutions, and quiet residential neighborhoods.
-
D.
Nakano Ward
Nakano Ward is a special ward in western Tokyo, Japan, known for its dense residential neighborhoods, shopping streets, and subculture hubs like Nakano Broadway.
-
E.
Nishi Ward
Nishi Ward is one of the administrative wards of Kumamoto City in Japan, encompassing a mix of residential, commercial, and suburban 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7559f0448190a992f0770ac8227a |
completed | May 9, 2026, 5:56 p.m. |
Created at: April 8, 2026, 9:45 p.m.