Triple
T8759549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruma |
E208160
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Katsuren |
E352021
|
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: Katsuren | Statement: [Uruma, formedByMergerOf, Katsuren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katsuren Context triple: [Uruma, formedByMergerOf, Katsuren]
-
A.
Katsuren
chosen
Katsuren was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal consolidation.
-
B.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
E.
Kusamakura
Kusamakura is a 1906 novel by Natsume Sōseki that blends poetic prose, philosophical reflection, and aesthetic contemplation through the journey of an artist in a remote mountain hot-spring village.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5df81c58819089af99306e103dbb |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf434232d08190bfee6f5ec1c0b5a6 |
completed | April 3, 2026, 4:34 a.m. |
Created at: March 30, 2026, 6:40 p.m.