Triple
T13265401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiwa |
E315909
|
entity |
| Predicate | adjacentToMunicipality |
P33892
|
FINISHED |
| Object | Matsudo |
—
|
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: Matsudo | Statement: [Kashiwa, adjacentToMunicipality, Matsudo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matsudo Context triple: [Kashiwa, adjacentToMunicipality, Matsudo]
-
A.
Matsudo
chosen
Matsudo is a city in Chiba Prefecture, Japan, located in the Greater Tokyo Area and functioning largely as a residential and commercial suburb of Tokyo.
-
B.
Utsunomiya
Utsunomiya is a city in Tochigi Prefecture, Japan, known as a regional commercial center and for its specialty gyoza (dumplings).
-
C.
Hanamaki
Hanamaki is a city in northeastern Japan known for its hot springs, rural landscapes, and as the birthplace of writer Kenji Miyazawa.
-
D.
Goshogawara
Goshogawara is a city in northern Japan known for its traditional Tachineputa Festival featuring towering illuminated floats.
-
E.
Numazu
Numazu is a coastal city in Shizuoka Prefecture, Japan, known for its fishing industry, scenic views of Mount Fuji, and role as a regional transportation hub.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:25 p.m.