Triple
T11879954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kallikratis reform |
E282628
|
entity |
| Predicate | reducedNumberOf |
P102026
|
FINISHED |
| Object | municipalities |
—
|
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: municipalities | Statement: [Kallikratis reform, reducedNumberOf, municipalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reducedNumberOf Context triple: [Kallikratis reform, reducedNumberOf, municipalities]
-
A.
reducedCapacity
Indicates that an entity is functioning with less than its normal or full capacity, ability, or effectiveness.
-
B.
reducedNumberOfVoivodeshipsTo
Indicates that an entity has decreased the total count of voivodeships (administrative regions) to a specified number.
-
C.
reducedPowerOf
Indicates that one entity has a diminished or weakened level of power, authority, or effectiveness relative to another or to its previous state.
-
D.
reducedNumberOfVoivodeshipsFrom
Indicates that an entity caused or is associated with a decrease in the number of voivodeships from a specified prior quantity.
-
E.
reduces
Indicates that one entity causes a decrease in the amount, intensity, degree, or impact of another entity.
- F. None of above. chosen
Provenance (4 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.