Triple
T8390526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nimba County |
E197930
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Yekepa |
E730800
|
NE FINISHED |
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: Yekepa | Statement: [Nimba County, hasUrbanCenter, Yekepa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yekepa Context triple: [Nimba County, hasUrbanCenter, Yekepa]
-
A.
Yekepa
chosen
Yekepa is a mining town in northern Liberia known for its rich iron ore deposits and company-operated facilities.
-
B.
Akpabuyo
Akpabuyo is a coastal local government area in southeastern Nigeria known for its location near Calabar in Cross River State.
-
C.
Kgalema
Kgalema is a South African politician who served as the country's third post-apartheid president and later as deputy president.
-
D.
Longuda
Longuda are an ethnic group in northeastern Nigeria, primarily known for their distinct language and cultural presence in and around Adamawa State.
-
E.
Kabnis
Kabnis is a central character in Jean Toomer's modernist work "Cane," representing the struggles of a Northern-educated Black man confronting the racial and cultural realities of the rural American South.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82f749388190bffbea6dfb509016 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb810c5c5c81908e124c64911c4e6c |
completed | March 31, 2026, 8:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce02cb3a1481908d30993d47c70039 |
completed | April 2, 2026, 5:46 a.m. |
Created at: March 30, 2026, 6:03 p.m.