Triple
T12400965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiyama-ku, Kyoto |
E296250
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Maruyama Park |
E322934
|
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: Maruyama Park | Statement: [Higashiyama-ku, Kyoto, contains, Maruyama Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maruyama Park Context triple: [Higashiyama-ku, Kyoto, contains, Maruyama Park]
-
A.
Maruyama Park
Maruyama Park is a popular public park in Sapporo, Japan, known for its cherry blossoms, sports facilities, and proximity to Hokkaido Shrine and Mount Maruyama.
-
B.
Maruyama Park
chosen
Maruyama Park is a famous public park in Kyoto, Japan, especially known for its cherry blossoms and traditional atmosphere.
-
C.
Shikishima Park
Shikishima Park is a large public park in Maebashi, Japan, known for its expansive green spaces, seasonal flowers, and recreational facilities.
-
D.
Shakujii Park
Shakujii Park is a large, scenic public park in Tokyo known for its ponds, wooded areas, and historic sites, offering a popular spot for recreation and nature walks.
-
E.
Hanazono Central Park
Hanazono Central Park is a major public park in Higashiosaka, Japan, known for its expansive green spaces and recreational facilities.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6556240f48190a3510d10ab98127b |
completed | May 2, 2026, 7:49 p.m. |
Created at: April 8, 2026, 9:55 p.m.