Triple
T8371749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish government of Wincenty Witos |
E197475
|
entity |
| Predicate | facedProblem |
P13650
|
FINISHED |
| Object | political instability |
—
|
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: political instability | Statement: [Polish government of Wincenty Witos, facedProblem, political instability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facedProblem Context triple: [Polish government of Wincenty Witos, facedProblem, political instability]
-
A.
facingIssue
chosen
Indicates that an entity is currently experiencing, encountering, or dealing with a problem, difficulty, or obstacle.
-
B.
concernsProblem
Indicates that something is about, related to, or deals with a particular problem or issue.
-
C.
problems
Indicates that one entity has issues, difficulties, or complications associated with or caused by another entity.
-
D.
problemStatement
Indicates that an entity presents, defines, or expresses a specific problem or issue to be addressed.
-
E.
hasPlanningIssue
Indicates that an entity is associated with a problem, concern, or complication related to planning or plan formulation.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a509dc81909e0ea4c66b21d84f |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:01 p.m.