Triple
T13875437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kōtō |
E333569
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Monzen-nakachō |
E817387
|
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: Monzen-nakachō | Statement: [Kōtō, contains, Monzen-nakachō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monzen-nakachō Context triple: [Kōtō, contains, Monzen-nakachō]
-
A.
Monzen-nakachō
chosen
Monzen-nakachō is a traditional neighborhood in Tokyo’s Kōtō ward known for its historic temples, shrines, and old-town atmosphere.
-
B.
Toshimaen
Toshimaen was a historic amusement park in Tokyo, Japan, known for its classic rides, large swimming pool complex, and long-standing popularity with local families before its closure.
-
C.
Sennichimae
Sennichimae is a bustling entertainment and dining district in central Osaka known for its neon-lit streets, theaters, and casual eateries.
-
D.
Kudamatsu
Kudamatsu is a coastal city in western Japan known for its industrial facilities and location along the Seto Inland Sea in Yamaguchi Prefecture.
-
E.
Kanramachi
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c109ac5c819090b2b7e43334f904 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:15 p.m.