Triple
T6604257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyu Plaza Omotesando Harajuku |
E149071
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Omotesando |
E26236
|
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: Omotesando | Statement: [Tokyu Plaza Omotesando Harajuku, location, Omotesando]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omotesando Context triple: [Tokyu Plaza Omotesando Harajuku, location, Omotesando]
-
A.
Omotesando
chosen
Omotesando is a fashionable, tree-lined avenue in central Tokyo known for its high-end boutiques, modern architecture, and trendy cafes.
-
B.
Meiji-dori
Meiji-dori is a major thoroughfare in Tokyo known for running through fashionable districts like Harajuku and connecting several key neighborhoods across the city.
-
C.
Kyōbashi
Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
-
D.
Chūō-dōri
Chūō-dōri is a major shopping and entertainment avenue in central Tokyo, renowned for its luxury boutiques, department stores, and vibrant street life, especially in the Ginza district.
-
E.
Kappabashi-dori
Kappabashi-dori is a famous Tokyo shopping street known for its many stores selling kitchenware, restaurant supplies, and realistic plastic food models.
- 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_69c687eaa7508190bb58ce2aa02039b3 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af11f0788190be010c6ee60e150c |
completed | March 27, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7006b27f08190b06427480689bdbd |
completed | March 27, 2026, 10:10 p.m. |
Created at: March 27, 2026, 1:56 p.m.