Triple
T23257677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Bockarie |
E581915
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Koidu
Koidu is a diamond-rich city in eastern Sierra Leone known for its role in the country’s mining industry and its impact on the civil war era.
|
E1577109
|
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: Koidu | Statement: [Sam Bockarie, placeOfBirth, Koidu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koidu Context triple: [Sam Bockarie, placeOfBirth, Koidu]
-
A.
Koidula
Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
-
B.
Kelluyo
Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
-
C.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
D.
Niboye
Niboye is an administrative sector within Kicukiro District in Kigali, Rwanda.
-
E.
Shiroro
Shiroro is a town in Niger State, Nigeria, known for hosting the major hydroelectric Shiroro Dam on the Kaduna River.
- 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: Koidu Triple: [Sam Bockarie, placeOfBirth, Koidu]
Generated description
Koidu is a diamond-rich city in eastern Sierra Leone known for its role in the country’s mining industry and its impact on the civil war era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koidu Target entity description: Koidu is a diamond-rich city in eastern Sierra Leone known for its role in the country’s mining industry and its impact on the civil war era.
-
A.
Koidula
Koidula is a railway junction and border station in southeastern Estonia that serves as a key transit point near the Russian and Latvian borders.
-
B.
Kelluyo
Kelluyo is a small town and district capital in southern Peru’s Puno Region, known for its high Andean setting and traditional Aymara culture.
-
C.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
D.
Niboye
Niboye is an administrative sector within Kicukiro District in Kigali, Rwanda.
-
E.
Shiroro
Shiroro is a town in Niger State, Nigeria, known for hosting the major hydroelectric Shiroro Dam on the Kaduna River.
- 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_6a0c3f6be3ec8190be316ae03c3b3729 |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c40297d3c8190b366b60cec3dbbf8 |
completed | May 19, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40ffd67481908931ffc2d91fb02b |
completed | May 19, 2026, 10:52 a.m. |
Created at: April 17, 2026, 4:11 p.m.