Triple
T6716061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hussain Kirsha |
E153269
|
entity |
| Predicate | nationalContextOfWork |
P72837
|
FINISHED |
| Object | Egyptian literature |
—
|
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: Egyptian literature | Statement: [Hussain Kirsha, nationalContextOfWork, Egyptian literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalContextOfWork Context triple: [Hussain Kirsha, nationalContextOfWork, Egyptian literature]
-
A.
laborContext
Indicates the labor-related circumstances, conditions, or setting within which an action, relationship, or event takes place.
-
B.
capitalContext
Indicates that a location serves as the capital within a specified contextual scope (such as a country, region, or administrative unit).
-
C.
primaryWorkContext
Indicates the main environment, setting, or domain in which an entity typically performs its work or primary activities.
-
D.
majorContext
Indicates that one entity serves as the primary or most significant contextual framework within which the other entity is understood or interpreted.
-
E.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d125db3c8190aad28919226a16da |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:07 p.m.