Triple
T10634179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omiya |
E250535
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ōmiya-ku, Saitama |
E584895
|
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: Ōmiya-ku, Saitama | Statement: [Omiya, hasPart, Ōmiya-ku, Saitama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmiya-ku, Saitama Context triple: [Omiya, hasPart, Ōmiya-ku, Saitama]
-
A.
Ōmiya-ku, Saitama
chosen
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.
-
B.
Itami, Saitama
Itami, Saitama is a locality in Saitama Prefecture, Japan, situated on the border with Tokyo’s Nerima ward.
-
C.
Asaka, Saitama
Asaka is a suburban city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
D.
Wako, Saitama
Wako, Saitama is a city in Saitama Prefecture, Japan, located on the northern outskirts of Tokyo and known as a residential and commuter town within the Greater Tokyo Area.
-
E.
Higashiyamato, Tokyo
Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and access via the Tama Monorail.
- 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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfab47bc819086684edc1b6dce74 |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bbd64d8819089d55af875d39e45 |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:03 p.m.