Triple
T23257251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenema District |
E581905
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kenema
Kenema is a major city in eastern Sierra Leone, serving as the capital and economic center of Kenema District and a hub for trade and agriculture.
|
E1586015
|
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: Kenema | Statement: [Kenema District, hasSettlement, Kenema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenema Context triple: [Kenema District, hasSettlement, Kenema]
-
A.
Kenema District
Kenema District is an administrative district in eastern Sierra Leone known for its predominantly Mende population and rich agricultural and diamond-mining activities.
-
B.
Nzérékoré
Nzérékoré is a major city in southeastern Guinea known as an important commercial and administrative center near the borders with Liberia and Côte d'Ivoire.
-
C.
Kpando
Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
-
D.
Bolgatanga
Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
-
E.
Serekunda
Serekunda is the most populous urban center and a major commercial hub in The Gambia.
- 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: Kenema Triple: [Kenema District, hasSettlement, Kenema]
Generated description
Kenema is a major city in eastern Sierra Leone, serving as the capital and economic center of Kenema District and a hub for trade and agriculture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenema Target entity description: Kenema is a major city in eastern Sierra Leone, serving as the capital and economic center of Kenema District and a hub for trade and agriculture.
-
A.
Kenema District
Kenema District is an administrative district in eastern Sierra Leone known for its predominantly Mende population and rich agricultural and diamond-mining activities.
-
B.
Nzérékoré
Nzérékoré is a major city in southeastern Guinea known as an important commercial and administrative center near the borders with Liberia and Côte d'Ivoire.
-
C.
Kpando
Kpando is a town in Ghana’s Volta Region, known as a local commercial center near the Volta Lake.
-
D.
Bolgatanga
Bolgatanga is a town in northern Ghana known as a commercial and cultural hub, particularly famous for its traditional crafts and vibrant market.
-
E.
Serekunda
Serekunda is the most populous urban center and a major commercial hub in The Gambia.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c677be46c81909d8df13e48239dcb |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72132a608190b44c96de39b7187a |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76e904b08190a5329a3ed56291dc |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 4:11 p.m.