Triple
T6917152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botswana and Zimbabwe |
E160088
|
entity |
| Predicate | shareRegionalChallenges |
P71878
|
FINISHED |
| Object | drought |
—
|
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: drought | Statement: [Botswana and Zimbabwe, shareRegionalChallenges, drought]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareRegionalChallenges Context triple: [Botswana and Zimbabwe, shareRegionalChallenges, drought]
-
A.
currentChallenges
chosen
Indicates the difficulties or obstacles an entity is presently facing or dealing with.
-
B.
coordinatesRegionalDevelopment
Indicates overseeing and aligning development activities across different areas or regions to ensure cohesive and balanced regional growth.
-
C.
concernsRegion
Indicates that something is about, relates to, or is specifically associated with a particular geographic or administrative region.
-
D.
commonPolicyArea
Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
-
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_69c6883ab1008190a07129ff06f625d9 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d9e034cc81908f1e8f31b055e119 |
completed | March 27, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b93d688190a297244ce81b67ac |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:26 p.m.