Triple
T14088436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maihama district |
E339058
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Urayasu city |
—
|
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: Urayasu city | Statement: [Maihama district, partOf, Urayasu city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Urayasu city Context triple: [Maihama district, partOf, Urayasu city]
-
A.
Urayasu
chosen
Urayasu is a city in Chiba Prefecture, Japan, best known as the home of Tokyo Disney Resort and its associated entertainment and shopping complexes.
-
B.
Kisarazu City
Kisarazu City is a coastal city in Chiba Prefecture, Japan, known as the gateway on the Chiba side of Tokyo Bay via the Tokyo Bay Aqua-Line.
-
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.
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.
-
E.
Kashima City
Kashima City is a coastal city in Ibaraki Prefecture, Japan, known for its historic Kashima Shrine and its strong association with maritime culture and industry.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee1ce88819091c983286289337e |
completed | April 14, 2026, 3:36 p.m. |
Created at: April 9, 2026, 10:21 p.m.