Triple
T12383981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marunouchi |
E295812
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nihonbashi |
E241509
|
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: Nihonbashi | Statement: [Marunouchi, near, Nihonbashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nihonbashi Context triple: [Marunouchi, near, Nihonbashi]
-
A.
Nihonbashi
chosen
Nihonbashi is a historic commercial district in central Tokyo known for its iconic bridge, traditional merchants, and major financial and retail centers.
-
B.
Kyōbashi
Kyōbashi is a historic commercial and business district in central Tokyo, located between Tokyo Station and the Ginza area.
-
C.
Nipponbashi
Nipponbashi is a district in Osaka, Japan, known for its electronics shops, anime and manga stores, and otaku culture, often compared to Tokyo’s Akihabara.
-
D.
Shinbashi
Shinbashi is a historic commercial and entertainment district in central Tokyo known as a major business hub and gateway between the Ginza area and the Shiodome skyscraper complex.
-
E.
Nihonbashi, Tokyo
Nihonbashi, Tokyo is a historic commercial district in central Tokyo known as a traditional financial and retail hub, blending old merchant streets with major department stores and modern office towers.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a533a2788190b885c000c29f4e87 |
completed | May 3, 2026, 1:30 a.m. |
Created at: April 8, 2026, 9:54 p.m.