Triple
T11229247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyando District |
E265777
|
entity |
| Predicate | hadSettlement |
P16159
|
FINISHED |
| Object |
Miwani
Miwani is a small town in western Kenya known historically for its sugarcane plantations and the Miwani Sugar Mills.
|
E912590
|
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: Miwani | Statement: [Nyando District, hadSettlement, Miwani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miwani Context triple: [Nyando District, hadSettlement, Miwani]
-
A.
Miya
Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
-
B.
Miya
Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Maiwa
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
-
E.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
- 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: Miwani Triple: [Nyando District, hadSettlement, Miwani]
Generated description
Miwani is a small town in western Kenya known historically for its sugarcane plantations and the Miwani Sugar Mills.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Miwani Target entity description: Miwani is a small town in western Kenya known historically for its sugarcane plantations and the Miwani Sugar Mills.
-
A.
Miya
Miya is a Japanese honorific suffix historically used in imperial and aristocratic titles, particularly within branches of the Japanese Imperial Family such as the Higashikuni-no-miya.
-
B.
Miya
Miya is a Chadic language spoken in parts of northern Nigeria, known for its complex tonal system and Afroasiatic linguistic roots.
-
C.
Miyabi
Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
-
D.
Maiwa
Maiwa are an ethnic group known for speaking the Maiwa language, one of the indigenous languages of their region.
-
E.
Mikuma
Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e900fbcc8190a3177f8a73564433 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad3eef408190937949e7b3bf0163 |
completed | April 19, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69e4b12c04e48190ad7546d556a5109f |
completed | April 19, 2026, 10:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4b2949c7c8190820b7f1f87e00602 |
completed | April 19, 2026, 10:46 a.m. |
Created at: April 8, 2026, 9:30 p.m.