Triple
T10814355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Railway Museum (Saitama City) |
E255185
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ōmiya 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: Ōmiya Ward | Statement: [Railway Museum (Saitama City), locatedIn, Ōmiya Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōmiya Ward Context triple: [Railway Museum (Saitama City), locatedIn, Ōmiya 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.
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.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e2527570819092314ee0a678e53c |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 8, 2026, 9:18 p.m.