Triple
T6389710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kameoka |
E143790
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object |
Tamba region
The Tamba region is a historical and rural area in central Japan, known for its mountainous landscapes, traditional agriculture, and preserved old towns.
|
E592854
|
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: Tamba region | Statement: [Kameoka, isPartOf, Tamba region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamba region Context triple: [Kameoka, isPartOf, Tamba region]
-
A.
Lindi Region
Lindi Region is a coastal administrative region in southern Tanzania known for its historical Swahili settlements and Indian Ocean shoreline.
-
B.
Hhohho Region
Hhohho Region is an administrative region in northern Eswatini that includes the national capital, Mbabane, and is known for its mountainous terrain.
-
C.
Vumba region
The Vumba region is a scenic highland area in eastern Zimbabwe known for its lush forests, cool misty climate, and rich biodiversity, attracting nature lovers and tourists.
-
D.
Mafinga region
Mafinga Region is an administrative area in Tanzania that includes Mafinga Central and surrounding localities.
-
E.
Ruvuma Region
Ruvuma Region is a largely rural administrative area in southern Tanzania known for its wildlife, forests, and proximity to major conservation areas.
- 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: Tamba region Triple: [Kameoka, isPartOf, Tamba region]
Generated description
The Tamba region is a historical and rural area in central Japan, known for its mountainous landscapes, traditional agriculture, and preserved old towns.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tamba region Target entity description: The Tamba region is a historical and rural area in central Japan, known for its mountainous landscapes, traditional agriculture, and preserved old towns.
-
A.
Lindi Region
Lindi Region is a coastal administrative region in southern Tanzania known for its historical Swahili settlements and Indian Ocean shoreline.
-
B.
Hhohho Region
Hhohho Region is an administrative region in northern Eswatini that includes the national capital, Mbabane, and is known for its mountainous terrain.
-
C.
Vumba region
The Vumba region is a scenic highland area in eastern Zimbabwe known for its lush forests, cool misty climate, and rich biodiversity, attracting nature lovers and tourists.
-
D.
Mafinga region
Mafinga Region is an administrative area in Tanzania that includes Mafinga Central and surrounding localities.
-
E.
Ruvuma Region
Ruvuma Region is a largely rural administrative area in southern Tanzania known for its wildlife, forests, and proximity to major conservation areas.
- 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_69c008db906c819096f3597d55d95432 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686cc6d481909c62a29a84a4ce8e |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c640ba9e04819098713f5bea7ebdbc |
completed | March 27, 2026, 8:32 a.m. |
| NEDg | Description generation | batch_69c643b7a37c8190807409b3c0d91cd5 |
completed | March 27, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6444d8d048190959c77c39f728fc9 |
completed | March 27, 2026, 8:48 a.m. |
Created at: March 22, 2026, 4:34 p.m.