Triple
T1895670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dobutsuen-mae Station |
E41975
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Spa World |
E41974
|
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: Spa World | Statement: [Dobutsuen-mae Station, near, Spa World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spa World Context triple: [Dobutsuen-mae Station, near, Spa World]
-
A.
Spa World
chosen
Spa World is a large Osaka leisure complex famous for its extensive themed hot spring baths, pools, and relaxation facilities.
-
B.
Wet ’n Wild Orlando
Wet ’n Wild Orlando was a pioneering Orlando water park, long operated by Universal, that became one of the area’s most popular aquatic attractions before its closure.
-
C.
Disney's Blizzard Beach Water Park
Disney's Blizzard Beach Water Park is a ski-resort–themed water park at Walt Disney World in Florida, featuring high-speed slides, a lazy river, and family attractions.
-
D.
Six Flags
Six Flags is a major American amusement park company known for its large chain of thrill-ride and roller coaster theme parks across North America.
-
E.
Aquaventure Waterpark
Aquaventure Waterpark is a large, themed water park in Dubai known for its record-breaking slides, marine animal encounters, and beachfront attractions.
- 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_69a8864b6de0819098d089f6a1b910a7 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb16d6674819084a891e3bf23bd83 |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeaebd5ec8190897619628f7b821d |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:35 p.m.