Triple
T23257734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Paul Koroma |
E581916
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Koidu |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Johnny Paul Koroma, placeOfBirth, Koidu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koidu Context triple: [Johnny Paul Koroma, placeOfBirth, Koidu]
-
A.
Koidu
chosen
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.
-
B.
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.
-
C.
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.
-
D.
Koutiala
Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
-
E.
Niboye
Niboye is an administrative sector within Kicukiro District in Kigali, Rwanda.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 17, 2026, 4:11 p.m.