Triple

T25814949
Position Surface form Disambiguated ID Type / Status
Subject administrative courts of Egypt E650222 entity
Predicate haveLevel P2393 FINISHED
Object courts 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: courts of appeal in administrative matters | Statement: [administrative courts of Egypt, haveLevel, courts of appeal in administrative matters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: haveLevel
Context triple: [administrative courts of Egypt, haveLevel, courts of appeal in administrative matters]
  • A. hasLevel chosen
    Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
  • B. hasWorkingLevel
    Indicates that one entity possesses or is assigned a specific operational or functional level within a defined system or context.
  • C. hasUnitLevel
    Indicates that something is associated with, measured at, or applicable to a specific unit level within a larger hierarchy or scale.
  • D. hasLevelType
    Indicates that an entity is associated with a specific type or category of level (e.g., difficulty, hierarchy, or stage).
  • E. containsLevel
    Indicates that one entity includes or encompasses a specific level or layer within its structure or hierarchy.
  • 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_69e7ab367fcc8190a5ff1e7f3da046a4 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f600c84ac4819091492e52a5a8b873 completed May 2, 2026, 1:48 p.m.
PD Predicate disambiguation batch_69f5f7fba5248190945acf1561280799 completed May 2, 2026, 1:11 p.m.
Created at: April 22, 2026, 7:25 a.m.