Triple
T8228912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ιωάννης Κωλέττης |
E192239
|
entity |
| Predicate | κατείχεΑξίωμα |
P80965
|
FINISHED |
| Object | Υπουργός Εσωτερικών |
—
|
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: Υπουργός Εσωτερικών | Statement: [Ιωάννης Κωλέττης, κατείχεΑξίωμα, Υπουργός Εσωτερικών]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: κατείχεΑξίωμα Context triple: [Ιωάννης Κωλέττης, κατείχεΑξίωμα, Υπουργός Εσωτερικών]
-
A.
axiom2
Indicates that the relationship or action is taken as a fundamental, assumed truth within the system, serving as a base rule from which other statements are derived.
-
B.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
-
C.
foundationAxiomHoldsIn
Indicates that the foundation (or regularity) axiom is satisfied within a given model, structure, or context.
-
D.
aria
Indicates that an entity is associated with ARIA (Accessible Rich Internet Applications) attributes or roles that define how it should be interpreted by assistive technologies.
-
E.
éA
Indicates a directed association or influence from one entity toward another, where the first entity acts upon, affects, or is related to the second in a specified manner.
- 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_69ca82db5b90819085d1ad7c2e27bfcc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb780051988190adb47c02e0dcea51 |
completed | March 31, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb3d6c34708190a987d68529cbb0b3 |
completed | March 31, 2026, 3:20 a.m. |
Created at: March 30, 2026, 5:46 p.m.