Triple
T11229246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyando District |
E265777
|
entity |
| Predicate | hadSettlement |
P16159
|
FINISHED |
| Object |
Chemelil
Chemelil is a town in western Kenya known primarily for its large sugar industry and the Chemelil Sugar Company.
|
E912589
|
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: Chemelil | Statement: [Nyando District, hadSettlement, Chemelil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chemelil Context triple: [Nyando District, hadSettlement, Chemelil]
-
A.
Ibillin
Ibillin is a Palestinian Arab town in the Galilee region of northern Israel, known today as a mixed Arab local council with historical roots dating back to antiquity.
-
B.
Merouana
Merouana is a town and commune in northeastern Algeria known for its mountainous surroundings and role as a local administrative and commercial center.
-
C.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
D.
Gagra
Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
-
E.
Tawil
Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
- 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: Chemelil Triple: [Nyando District, hadSettlement, Chemelil]
Generated description
Chemelil is a town in western Kenya known primarily for its large sugar industry and the Chemelil Sugar Company.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chemelil Target entity description: Chemelil is a town in western Kenya known primarily for its large sugar industry and the Chemelil Sugar Company.
-
A.
Ibillin
Ibillin is a Palestinian Arab town in the Galilee region of northern Israel, known today as a mixed Arab local council with historical roots dating back to antiquity.
-
B.
Merouana
Merouana is a town and commune in northeastern Algeria known for its mountainous surroundings and role as a local administrative and commercial center.
-
C.
Anseba
Anseba is a central region of Eritrea known for its diverse ethnic communities, agriculture, and the regional capital Keren.
-
D.
Gagra
Gagra is a coastal resort town on the Black Sea in the disputed region of Abkhazia, internationally recognized as part of Georgia.
-
E.
Tawil
Tawil is an Arabic-origin surname commonly found among families from the Middle East and the broader Arab diaspora.
- 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.