Triple
T6547073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ueno |
E151036
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Ueno Zoo |
E213021
|
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 Zoo | Statement: [Ueno, hasLandmark, Ueno Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno Zoo Context triple: [Ueno, hasLandmark, Ueno Zoo]
-
A.
Ueno Zoo
chosen
Ueno Zoo is a historic and popular zoological garden in Tokyo, Japan, renowned for its diverse animal collection and giant pandas.
-
B.
Ueno Park
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.
-
C.
Tennoji Zoo
Tennoji Zoo is a historic zoological park in Osaka, Japan, known for its diverse animal exhibits and location within the popular Tennoji district.
-
D.
Shinagawa Aquarium
Shinagawa Aquarium is a popular public aquarium in Tokyo known for its marine life exhibits and dolphin and sea lion shows.
-
E.
Sumida Aquarium
Sumida Aquarium is a modern indoor aquarium in Tokyo known for its innovative exhibits, including large open tanks and a focus on local aquatic life, located within the Tokyo Skytree Town complex.
- 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.