Triple
T7225281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adly Mansour |
E150362
|
entity |
| Predicate | termLabel |
P21560
|
FINISHED |
| Object | interim presidency of Egypt |
—
|
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: interim presidency of Egypt | Statement: [Adly Mansour, termLabel, interim presidency of Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termLabel Context triple: [Adly Mansour, termLabel, interim presidency of Egypt]
-
A.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
B.
classificationTerm
Indicates that one entity serves as a categorical label or type used to classify or group another entity.
-
C.
termType
Indicates the classification or category of a term within a system, specifying what kind of term it is (e.g., type, role, or function) in relation to others.
-
D.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
E.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9dc835881909ea646c392a980b6 |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.