Triple
T6547072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ueno |
E151036
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Ueno Park |
E210624
|
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: Ueno Park | Statement: [Ueno, hasLandmark, Ueno Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno Park Context triple: [Ueno, hasLandmark, Ueno Park]
-
A.
Ueno Park
chosen
Ueno Park is a large public park in Tokyo famous for its cherry blossoms, cultural institutions like museums and a zoo, and historic temples and shrines.
-
B.
Hibiya Park
Hibiya Park is a historic public park in central Tokyo known for its Western-style gardens, open-air concert venues, and role as a popular cultural and political gathering place.
-
C.
Setagaya Park
Setagaya Park is a public green space in Tokyo’s Setagaya ward, known for its recreational facilities and local community use.
-
D.
Meiji Jingu Gaien area
The Meiji Jingu Gaien area is a prominent cultural and recreational district in Tokyo known for its tree-lined avenues, sports facilities, and seasonal attractions such as autumn foliage and ginkgo-lined streets.
-
E.
Sumida Park
Sumida Park is a riverside public park in Tokyo renowned for its cherry blossoms and scenic views along the Sumida River.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adf00aa48190a86a9ad4795363d9 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e41f1eb8819086d0094015bdc1af |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:50 p.m.