Triple

T31616384
Position Surface form Disambiguated ID Type / Status
Subject Danıştay E806767 entity
Predicate legalRemedyLevel P197561 FINISHED
Object court of appeal in administrative matters 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: court of appeal in administrative matters | Statement: [Danıştay, legalRemedyLevel, court of appeal in administrative matters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalRemedyLevel
Context triple: [Danıştay, legalRemedyLevel, court of appeal in administrative matters]
  • A. levelOfAppeal
    Indicates the degree or intensity to which something is attractive, interesting, or desirable to someone or something.
  • B. remedySought
    Indicates that a particular legal or corrective action is being requested as a solution or relief in response to a problem or dispute.
  • C. hasMitigationLevel
    Indicates the degree or extent to which a risk, threat, or issue is reduced or controlled by specific mitigation measures.
  • D. sanctioningLevel
    Indicates the degree or severity of formal penalties, restrictions, or disciplinary measures imposed in response to a violation or noncompliant behavior.
  • E. legalAuthorityLevel
    Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within 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_69f348d61f2081908cad94bc9ffbb671 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69fe9b0276d48190b554fa22b043e6d8 completed May 9, 2026, 2:25 a.m.
PD Predicate disambiguation batch_69fe999692b081909921e1148d66f0ef completed May 9, 2026, 2:19 a.m.
PDg Predicate description generation batch_69fe9b013ec481908f89beddb9c4cd4e completed May 9, 2026, 2:25 a.m.
Created at: April 30, 2026, 10:39 p.m.