Triple
T5773488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuji Television Building |
E127383
|
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: [Fuji Television Building, locatedIn, Odaiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odaiba Context triple: [Fuji Television Building, 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.
Omotesandō
Omotesandō is a fashionable, tree-lined avenue in Tokyo known for its high-end boutiques, modern architecture, and trendy cafés.
-
D.
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.
-
E.
Hayama
Hayama is a coastal town in Kanagawa Prefecture, Japan, known for its beaches, scenic views of Sagami Bay, and as a site of an Imperial Villa.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029af681081908276e99c568561ce |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e686ad88190b34e5e94145b44dc |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:50 p.m.