Triple
T35639284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | administrative courts of Turkey |
E1029812
|
entity |
| Predicate | legalRemedyAgainst |
P2242
|
FINISHED |
| Object | unlawful administrative acts |
—
|
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: unlawful administrative acts | Statement: [administrative courts of Turkey, legalRemedyAgainst, unlawful administrative acts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalRemedyAgainst Context triple: [administrative courts of Turkey, legalRemedyAgainst, unlawful administrative acts]
-
A.
legalRemedyLevel
Indicates the degree or severity of legal recourse or corrective action available or applied in response to a legal issue or violation.
-
B.
seeksJusticeAgainst
Indicates that one entity actively pursues legal or moral accountability or retribution directed at another entity.
-
C.
remedySought
chosen
Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
-
D.
legalActionReason
Indicates the reason, cause, or grounds for which a particular legal action is initiated or taken.
-
E.
legalView
Indicates that one entity holds or expresses a legal opinion, interpretation, or judgment about another entity or situation.
- 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_69f76e087bdc8190a4794bf9c0bd7634 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: May 3, 2026, 4:05 p.m.