Triple
T27887085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liga F |
E705259
|
entity |
| Predicate | professionalizationReform |
P82468
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Liga F, professionalizationReform, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: professionalizationReform Context triple: [Liga F, professionalizationReform, 2022]
-
A.
professionalization
chosen
Indicates the process by which an occupation, activity, or role becomes more structured, regulated, and recognized as a formal profession, often through standards, credentials, and specialized training.
-
B.
professionalizationRole
Indicates that an entity plays a role in the process of making an occupation, activity, or field more professional or formally structured.
-
C.
reform
Indicates bringing about significant changes to an existing system, practice, or entity in order to improve or correct it.
-
D.
professionalism
Indicates that an entity consistently behaves, communicates, and performs tasks in a manner that adheres to accepted standards of competence, ethics, and workplace conduct.
-
E.
advocatedReformOf
Indicates that one entity publicly supported or promoted changes to another entity, typically aiming to improve or modify its structure, policies, or practices.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 27, 2026, 6:33 p.m.