Triple
T5256919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Infiniti |
E118722
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Yokohama, Japan |
E10676
|
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: Yokohama, Japan | Statement: [Infiniti, headquartersLocation, Yokohama, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yokohama, Japan Context triple: [Infiniti, headquartersLocation, Yokohama, Japan]
-
A.
Yokohama
chosen
Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
-
B.
Shizuoka City, Japan
Shizuoka City, Japan is a coastal city in central Honshu known for its views of Mount Fuji, green tea production, and role as a regional economic and cultural center.
-
C.
Yokohama city center
Yokohama city center is the main urban and commercial hub of Yokohama, known for its modern skyline, waterfront districts, and major shopping and business areas.
-
D.
Yokosuka, Kanagawa, Japan
Yokosuka, in Kanagawa Prefecture, Japan, is a major naval port city hosting both Japanese and U.S. military bases and serving as an important maritime and industrial center.
-
E.
Fujinomiya, Japan
Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba64fe48190943e7d49f6e1449a |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7ded18819094f86cfff458953c |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.