Triple
T2828962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education, Youth, Culture and Sport Council |
E54989
|
entity |
| Predicate | mayDecideBy |
P9044
|
FINISHED |
| Object | unanimity in specific areas |
—
|
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: unanimity in specific areas | Statement: [Education, Youth, Culture and Sport Council, mayDecideBy, unanimity in specific areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayDecideBy Context triple: [Education, Youth, Culture and Sport Council, mayDecideBy, unanimity in specific areas]
-
A.
makesDecisionBy
chosen
Indicates that one entity determines or chooses an outcome, course of action, or judgment by means of another entity, method, or process.
-
B.
decidedWith
Indicates that an entity made a decision jointly or in agreement with another entity.
-
C.
decidesOn
Indicates that an agent makes a choice or determination regarding a particular option, issue, or course of action.
-
D.
decides
Indicates that an entity makes a choice or determination between options, often resolving uncertainty or selecting a course of action.
-
E.
decisionsAre
Indicates that certain choices, judgments, or resolutions possess a specified quality, status, or classification.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde97168c8190b31122b2ad9fdebf |
completed | March 7, 2026, 8:15 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:59 p.m.