Triple
T15336097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkyō City |
E366668
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Hongo district |
E283999
|
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: Hongo district | Statement: [Bunkyō City, contains, Hongo district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongo district Context triple: [Bunkyō City, contains, Hongo district]
-
A.
Hongo district
chosen
Hongo district is a historic and academic neighborhood in Tokyo’s Bunkyō ward, known for institutions like the University of Tokyo and its traditional residential character.
-
B.
Hondori district
Hondori district is a central shopping and entertainment area in Hiroshima, Japan, known for its covered arcade, retail stores, and restaurants near the Peace Memorial Park.
-
C.
Hachiken district
Hachiken district is a neighborhood within Nishi-ku, Sapporo, known as a primarily residential area with local shops and community facilities.
-
D.
Jujo district
Jujo district is a neighborhood in Kita Ward, Tokyo, known for its traditional shopping streets, dense residential areas, and convenient rail access.
-
E.
Tsuzuki District
Tsuzuki District is a former administrative district that once existed within Kyoto Prefecture in Japan.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e03c5f081908e4d14dbdbc7f7a6 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0035450810819092796c556dfa8ed3 |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 3:17 a.m.