Triple
T21715780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大宮駅 |
E536024
|
entity |
| Predicate | 市区町村 |
P76028
|
FINISHED |
| Object | さいたま市 |
—
|
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: さいたま市 | Statement: [大宮駅, 市区町村, さいたま市]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: さいたま市 Context triple: [大宮駅, 市区町村, さいたま市]
-
A.
Saitama City
Saitama City is the capital of Saitama Prefecture in Japan, forming part of the Greater Tokyo metropolitan area and serving as a major commercial and administrative center.
-
B.
Saitama (city)
chosen
Saitama is a major city in eastern Japan that serves as the capital of Saitama Prefecture and a key commercial and residential hub in the Greater Tokyo metropolitan area.
-
C.
Ibaraki City
Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
-
D.
Ōmiya-ku, Saitama
Ōmiya-ku, Saitama is a major commercial and transportation hub in Saitama City, Japan, known for its busy railway junction, shopping districts, and cultural attractions.
-
E.
Hachiōji
Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.