Triple
T135013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Charter for Regional or Minority Languages |
E2728
|
entity |
| Predicate | typeOfRight |
P5038
|
FINISHED |
| Object | collective cultural right |
—
|
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: collective cultural right | Statement: [European Charter for Regional or Minority Languages, typeOfRight, collective cultural right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfRight Context triple: [European Charter for Regional or Minority Languages, typeOfRight, collective cultural right]
-
A.
typeOfContract
Indicates the specific kind or category of contractual agreement that applies between the related entities.
-
B.
obligationType
Indicates the specific kind or category of duty, requirement, or commitment that applies within an obligation relationship.
-
C.
typeOfInheritance
Indicates the kind or pattern of inheritance by which a trait, property, or characteristic is passed from one entity or generation to another.
-
D.
typeOfDefense
Indicates the specific kind or category of defense employed or possessed in a given context.
-
E.
typeOfSupport
Indicates the kind or category of assistance, help, or backing provided in a given context.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a3ad908190b6a8652f09ae0cbb |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256ea776081908fec36c3fdfb8d84 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.