Triple
T19510122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikoma Mountains |
E488126
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Osaka cityscape |
—
|
NE NERFINISHED |
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: Osaka cityscape | Statement: [Ikoma Mountains, hasViewOf, Osaka cityscape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osaka cityscape Context triple: [Ikoma Mountains, hasViewOf, Osaka cityscape]
-
A.
Osaka city center
Osaka city center is the main commercial and business district of Osaka, Japan, known for its dense concentration of offices, shopping areas, and entertainment venues.
-
B.
City of Osaka
chosen
The City of Osaka is a major Japanese metropolis and commercial hub known for its modern architecture, vibrant street food culture, and historical landmarks.
-
C.
Umeda, Osaka
Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
-
D.
Tennoji-ku, Osaka
Tennoji-ku, Osaka is a central ward of Osaka City known for its major transport hub, historic Shitenno-ji Temple, and large commercial and shopping complexes.
-
E.
Shin-Osaka
Shin-Osaka is a major railway hub in Osaka, Japan, serving as the primary Shinkansen (bullet train) terminal linking the city with other regions across the country.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6351547e481909a875bba40651094 |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.