Triple
T3262089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamate |
E68433
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Motomachi |
E24336
|
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: Motomachi | Statement: [Yamate, adjacentTo, Motomachi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motomachi Context triple: [Yamate, adjacentTo, Motomachi]
-
A.
Motomachi
chosen
Motomachi is a historic commercial and shopping district in Kobe, Japan, known for its fashionable boutiques, cafes, and proximity to the city’s Chinatown and waterfront.
-
B.
Motomachi
Motomachi is a stylish shopping and entertainment district in Yokohama known for its fashionable boutiques, cafes, and Western-influenced atmosphere.
-
C.
Shinsaibashi
Shinsaibashi is a major shopping and entertainment district in central Osaka, Japan, known for its covered arcade, fashion boutiques, and vibrant nightlife.
-
D.
Dotonbori Street
Dotonbori Street is a famous entertainment and dining district in Osaka, Japan, known for its neon lights, bustling nightlife, and iconic oversized restaurant signs.
-
E.
Omotesando
Omotesando is a fashionable, tree-lined avenue in central Tokyo known for its high-end boutiques, modern architecture, and trendy cafes.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa908e881908cbb2ad137819ffb |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61313c7e881909309d18b2d5b6699 |
completed | March 15, 2026, 2:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.