Triple
T2749670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rainbow Bridge |
E60954
|
entity |
| Predicate | connects |
P390
|
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: [Rainbow Bridge, connects, Odaiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odaiba Context triple: [Rainbow Bridge, connects, Odaiba]
-
A.
Odaiba
chosen
Odaiba is a popular high-tech entertainment and shopping district built on a man-made island in Tokyo Bay.
-
B.
Roppongi Hills
Roppongi Hills is a large urban redevelopment complex in Tokyo known for its skyscrapers, upscale shops, restaurants, offices, residences, and the Mori Art Museum.
-
C.
Tokyo Skytree Town
Tokyo Skytree Town is a large commercial and entertainment complex in Tokyo that surrounds the Tokyo Skytree and features shopping, dining, an aquarium, and various leisure facilities.
-
D.
Harajuku
Harajuku is a vibrant Tokyo district famous for its youth culture, eclectic street fashion, and trendy shopping and entertainment spots.
-
E.
Tempozan Harbor Village
Tempozan Harbor Village is a waterfront shopping and entertainment complex in Osaka, Japan, known for attractions like the Tempozan Ferris Wheel and its proximity to the Osaka Aquarium Kaiyukan.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb52b1d48190b6ab511cc8834a14 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc03e69508190b55a4ad83fca3a45 |
completed | March 10, 2026, 6:54 a.m. |
Created at: March 6, 2026, 9:56 p.m.