Triple
T11805878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitama Prefecture |
E280745
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Omiya Ward |
E1016911
|
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: Omiya Ward | Statement: [Saitama Prefecture, contains, Omiya Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Omiya Ward Context triple: [Saitama Prefecture, contains, Omiya Ward]
-
A.
Ōmiya-ku
chosen
Ōmiya-ku is a central ward of Saitama City in Japan, known as a major commercial and transportation hub in the Greater Tokyo area.
-
B.
Toyohira Ward
Toyohira Ward is one of the ten administrative wards of Sapporo, Japan, known for its residential neighborhoods, universities, and parks along the Toyohira River.
-
C.
Suminoe Ward
Suminoe Ward is one of Osaka City's 24 wards, known for its coastal location, residential districts, and industrial and port-related facilities.
-
D.
Suginami Ward
Suginami Ward is one of Tokyo’s 23 special wards, known as a largely residential area with numerous parks, local shopping streets, and a strong community atmosphere.
-
E.
Arakawa Ward
Arakawa Ward is a special ward in northeastern Tokyo, Japan, known for its mix of residential neighborhoods, traditional shitamachi atmosphere, and riverside areas.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5c8324481909a54852a9bb714e0 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c2818ec8190ae926a0ffdeb7bb7 |
completed | May 9, 2026, 3 p.m. |
Created at: April 8, 2026, 9:42 p.m.