Triple
T5992184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Region (Cameroon) |
E133375
|
entity |
| Predicate | areaRankingInCameroon |
P67878
|
FINISHED |
| Object | 1 |
—
|
LITERAL 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: 1 | Statement: [East Region (Cameroon), areaRankingInCameroon, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankingInCameroon Context triple: [East Region (Cameroon), areaRankingInCameroon, 1]
-
A.
areaRankingInChad
Indicates the relative position of an entity in a size-based ranking specifically within the geographic context of Chad.
-
B.
CEMACMember
Indicates that an entity is a member state or participant within the Central African Economic and Monetary Community (CEMAC).
-
C.
areaRankingInAfrica
Indicates the relative position of an entity in a size-based ranking of areas within Africa.
-
D.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
-
E.
populationRankInSudan
Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
- F. None of above. chosen
Provenance (4 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e8fd030819095a4f3b3d425ec21 |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:05 p.m.