Triple
T2932573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FCNM |
E78987
|
entity |
| Predicate | educationProvision |
P44021
|
FINISHED |
| Object | access to education in minority languages where appropriate |
—
|
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: access to education in minority languages where appropriate | Statement: [FCNM, educationProvision, access to education in minority languages where appropriate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationProvision Context triple: [FCNM, educationProvision, access to education in minority languages where appropriate]
-
A.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
B.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
C.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
D.
educationProxy
Indicates that one entity serves as a stand-in or representative for another entity in matters related to education or educational status.
-
E.
educates
Indicates that one entity provides instruction, knowledge, or training to 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad983a4ae08190aa1aeb2747abd1a1 |
completed | March 8, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69ad9606e8348190bb19df33a2709674 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:55 p.m.