Triple
T15109427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine 60 |
E360871
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object | サンシャイン60 |
E360871
|
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: サンシャイン60 | Statement: [Sunshine 60, hasJapaneseName, サンシャイン60]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: サンシャイン60 Context triple: [Sunshine 60, hasJapaneseName, サンシャイン60]
-
A.
Regal Unlimited
Regal Unlimited is a movie theater subscription service that lets members watch multiple films at Regal Cinemas for a flat monthly fee.
-
B.
Sunshine 60
chosen
Sunshine 60 is a prominent skyscraper and commercial complex in Tokyo’s Ikebukuro district, known for its offices, shopping, and observation deck.
-
C.
SeaFire
SeaFire is a James Bond continuation novel by British author John Gardner that follows 007 on a mission involving environmental terrorism and high-stakes corporate intrigue.
-
D.
Pacific Star
The Pacific Star is a British campaign medal awarded for service in the Pacific theatre during the Second World War.
-
E.
Ocean Star
Ocean Star is a retired offshore drilling rig converted into a museum in Galveston, Texas, that educates visitors about the offshore oil and gas industry.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058c04f481909deeac0271d961b6 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eb139c8190b76393e4a8be576b |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.