Triple
T13605490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Decks Tokyo Beach |
E325050
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Odaiba |
E64227
|
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: Odaiba | Statement: [Decks Tokyo Beach, locatedIn, Odaiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odaiba Context triple: [Decks Tokyo Beach, locatedIn, Odaiba]
-
A.
Odaiba
chosen
Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
-
B.
Aqua City Odaiba
Aqua City Odaiba is a large waterfront shopping and entertainment complex in Tokyo’s Odaiba district, featuring numerous shops, restaurants, a cinema, and views of Rainbow Bridge and Tokyo Bay.
-
C.
Tokyo (Takeshiba Pier)
Tokyo (Takeshiba Pier) is a waterfront ferry terminal in central Tokyo that serves as a major departure point for passenger ships traveling to the Ogasawara Islands and other outlying destinations.
-
D.
Toyosu
Toyosu is a modern waterfront district in Tokyo best known for its large-scale urban redevelopment and the Toyosu Market, which replaced the historic Tsukiji fish market.
-
E.
Sakuragaokacho
Sakuragaokacho is a neighborhood in Tokyo’s Shibuya ward known for its urban atmosphere and proximity to Shibuya Station.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07e442c819086a8cbb967c03ad3 |
completed | April 12, 2026, 2:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78ae394748190b6a0f9a085b7dea6 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:50 p.m.