Triple
T3784363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovak Democratic and Christian Union – Democratic Party |
E85492
|
entity |
| Predicate | statusIn2010s |
P10104
|
FINISHED |
| Object | declining electoral support |
—
|
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: declining electoral support | Statement: [Slovak Democratic and Christian Union – Democratic Party, statusIn2010s, declining electoral support]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusIn2010s Context triple: [Slovak Democratic and Christian Union – Democratic Party, statusIn2010s, declining electoral support]
-
A.
statusAfter2010
chosen
Indicates the condition or state of an entity specifically in the period after the year 2010.
-
B.
statusAsOf21stCentury
Indicates that the status or condition of an entity is evaluated or defined specifically as it stands in the 21st century.
-
C.
activeInDecade
Indicates that an entity was active or engaged in its primary activities during a specified decade.
-
D.
statusIn20thCentury
Indicates that an entity held a particular status, condition, or classification specifically during the 20th century.
-
E.
completedInDecade
Indicates that an action, event, or process was finished within a specified ten-year time period.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:13 p.m.