Triple
T10684075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kujūkuri Beach |
E251829
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object |
Sōsa
Sōsa is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
|
E878963
|
NE FINISHED |
How this triple was built (4 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: Sōsa | Statement: [Kujūkuri Beach, locatedInMunicipality, Sōsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sōsa Context triple: [Kujūkuri Beach, locatedInMunicipality, Sōsa]
-
A.
Sakura
Sakura is a Japanese high-speed Shinkansen train service that operates mainly on the Sanyo and Kyushu Shinkansen lines.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Matsuura
Matsuura is a coastal city in southwestern Japan known for its fishing industry and scenic seaside landscapes within Nagasaki Prefecture.
-
D.
Shizu
Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
-
E.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sōsa Triple: [Kujūkuri Beach, locatedInMunicipality, Sōsa]
Generated description
Sōsa is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sōsa Target entity description: Sōsa is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
-
A.
Sakura
Sakura is a Japanese high-speed Shinkansen train service that operates mainly on the Sanyo and Kyushu Shinkansen lines.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Matsuura
Matsuura is a coastal city in southwestern Japan known for its fishing industry and scenic seaside landscapes within Nagasaki Prefecture.
-
D.
Shizu
Shizu is the posthumous temple name by which Emperor Guangwu, the restorer and founding ruler of the Eastern Han dynasty in China, is venerated in ancestral rites.
-
E.
Geisa
Geisa is a small historic town in the state of Thuringia in central Germany, near the former inner-German border.
- F. None of above. chosen
Provenance (5 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc5134c8190bcb1d96a32634c17 |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aeb82988190a17b009c74279423 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c2aae048190b348e5614ff23f03 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.