Triple
T17758757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama City |
E443311
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Sanrio Puroland |
—
|
NE NERFINISHED |
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: Sanrio Puroland | Statement: [Tama City, knownFor, Sanrio Puroland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanrio Puroland Context triple: [Tama City, knownFor, Sanrio Puroland]
-
A.
Sanrio Puroland
chosen
Sanrio Puroland is an indoor theme park in Japan dedicated to Sanrio characters like Hello Kitty, featuring character shows, attractions, and themed dining.
-
B.
Sanrio
Sanrio is a Japanese company best known for creating and licensing cute character brands such as Hello Kitty and My Melody, featured on a wide range of merchandise and in themed attractions.
-
C.
Kachidoki
Kachidoki is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers, proximity to the Sumida River, and convenient access to central Tokyo.
-
D.
Takara
Takara is a Japanese toy company best known for creating and producing Transformers and other popular action figures.
-
E.
Yagiyama Benyland
Yagiyama Benyland is an amusement park located in the Yagiyama area of Sendai, Japan, known for its family-friendly rides and scenic hilltop views.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.