Triple
T25814950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | administrative courts of Egypt |
E650222
|
entity |
| Predicate | haveLevel |
P2393
|
FINISHED |
| Object | Supreme Administrative Court of Egypt |
—
|
NE NERFINISHED |
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: Supreme Administrative Court of Egypt | Statement: [administrative courts of Egypt, haveLevel, Supreme Administrative Court of Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveLevel Context triple: [administrative courts of Egypt, haveLevel, Supreme Administrative Court of Egypt]
-
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_69f603bb02288190b40cedbed5b9651d |
completed | May 2, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 22, 2026, 7:25 a.m.