Triple
T21588052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisukuma language |
E532703
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kanda
Kanda is a dialect of the Kisukuma language spoken by the Sukuma people of Tanzania.
|
E1500678
|
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: Kanda | Statement: [Kisukuma language, hasDialect, Kanda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kanda Context triple: [Kisukuma language, hasDialect, Kanda]
-
A.
Kanda
Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
-
B.
Kanda
Kanda is a town in Fukuoka Prefecture, Japan, that forms part of the broader Fukuoka-Kitakyushu urban and industrial region on Kyushu.
-
C.
Urakawa
Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
-
D.
Daidō
Daidō was a Japanese era name (nengō) from the early Heian period, used during the reign of Emperor Kanmu.
-
E.
Daidō
Daidō was a Japanese era name (nengō) of the early 9th century, used during the reign of Emperor Saga.
- 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: Kanda Triple: [Kisukuma language, hasDialect, Kanda]
Generated description
Kanda is a dialect of the Kisukuma language spoken by the Sukuma people of Tanzania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kanda Target entity description: Kanda is a dialect of the Kisukuma language spoken by the Sukuma people of Tanzania.
-
A.
Kanda
Kanda is a historic commercial and educational district in central Tokyo known for its bookstores, universities, and traditional shrines.
-
B.
Kanda
Kanda is a town in Fukuoka Prefecture, Japan, that forms part of the broader Fukuoka-Kitakyushu urban and industrial region on Kyushu.
-
C.
Urakawa
Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
-
D.
Daidō
Daidō was a Japanese era name (nengō) from the early Heian period, used during the reign of Emperor Kanmu.
-
E.
Daidō
Daidō was a Japanese era name (nengō) of the early 9th century, used during the reign of Emperor Saga.
- 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb621ab88190a33a943424ffb306 |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a365fe33c819096614a37427a1fd7 |
completed | May 17, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_6a0a3728a37c8190b9c7a296816709bd |
completed | May 17, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a37f8c09c8190a92f78909cfbc6e7 |
completed | May 17, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:31 p.m.