Triple
T8371768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish government of Wincenty Witos |
E197475
|
entity |
| Predicate | hadFinanceChallenges |
P24789
|
FINISHED |
| Object | budget deficit |
—
|
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: budget deficit | Statement: [Polish government of Wincenty Witos, hadFinanceChallenges, budget deficit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadFinanceChallenges Context triple: [Polish government of Wincenty Witos, hadFinanceChallenges, budget deficit]
-
A.
hasEconomicChallenge
chosen
Indicates that an entity is experiencing or facing a financial or economic difficulty, constraint, or problem.
-
B.
largestDeficitOvercome
Indicates the maximum deficit or point difference that was successfully overcome by one side to achieve a comeback in a contest or competition.
-
C.
hasSocioeconomicIssue
Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
-
D.
experiencedFailure
Indicates that an entity has undergone or encountered a failure in performing an action, achieving a goal, or maintaining a desired state.
-
E.
hasBeenChallengedIn
Indicates that an entity has faced a challenge, contest, or dispute within a specified context, domain, or setting.
- 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_69cb80a6944081909c4547688c9e70ae |
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.