Triple
T8591353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigerien security forces |
E203433
|
entity |
| Predicate | facesChallenges |
P71878
|
FINISHED |
| Object | limited resources |
—
|
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: limited resources | Statement: [Nigerien security forces, facesChallenges, limited resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesChallenges Context triple: [Nigerien security forces, facesChallenges, limited resources]
-
A.
facedChallenges
Indicates that an entity has encountered and had to deal with difficulties, obstacles, or adverse conditions.
-
B.
currentChallenges
chosen
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
C.
facesChallenge
Indicates that an entity is confronted with a difficulty, obstacle, or demanding situation that must be dealt with or overcome.
-
D.
developmentChallenges
Indicates difficulties, obstacles, or constraints that hinder or complicate the process of developing or improving something.
-
E.
relatedChallenge
Indicates that one challenge is connected to another challenge, such as being similar, dependent, or otherwise contextually linked.
- F. None of above.
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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
Created at: March 30, 2026, 6:23 p.m.