Triple
T16079416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanda River |
E390064
|
entity |
| Predicate | sourceLocation |
P40
|
FINISHED |
| Object | Inokashira Pond |
E651142
|
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: Inokashira Pond | Statement: [Kanda River, sourceLocation, Inokashira Pond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inokashira Pond Context triple: [Kanda River, sourceLocation, Inokashira Pond]
-
A.
Inokashira Pond
chosen
Inokashira Pond is a scenic central lake in Tokyo’s Inokashira Park, known for its boating, cherry blossoms, and tranquil natural setting.
-
B.
Taisho Pond
Taisho Pond is a scenic lake in Japan’s Kamikochi region, known for its tranquil waters reflecting the surrounding Northern Japan Alps and its origin from an early 20th-century volcanic eruption.
-
C.
Shinobazu Pond
Shinobazu Pond is a historic, scenic pond in Tokyo’s Ueno Park, known for its lotus-covered waters, central Benten Island shrine, and abundant birdlife.
-
D.
Konoe Pond
Konoe Pond is a scenic, historic pond located within Kyoto Gyoen National Garden in Kyoto, Japan.
-
E.
Senzokuike
Senzokuike is a scenic pond and surrounding park area in Tokyo’s Ōta ward, known for its tranquil atmosphere, walking paths, and boating.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18448bebc8190b0e84b1da097bf8b |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffeeb32348190a1896059479c236c |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 4:57 a.m.