Triple
T23889511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بنسيون ميرامار |
E600721
|
entity |
| Predicate | يظهر_في_نوع_العمل |
P115247
|
FINISHED |
| Object | رواية أدبية |
—
|
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: رواية أدبية | Statement: [بنسيون ميرامار, يظهر_في_نوع_العمل, رواية أدبية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يظهر_في_نوع_العمل Context triple: [بنسيون ميرامار, يظهر_في_نوع_العمل, رواية أدبية]
-
A.
identifiesWork
Indicates that one entity recognizes or specifies another entity as a particular work (such as a creative, scholarly, or professional output) associated with it.
-
B.
portrayedInWorkType
chosen
Indicates that an entity is depicted or represented within a work of a specified type (such as a film, book, painting, or other creative medium).
-
C.
hasWorksIn
Indicates that one entity is employed by or performs their professional activities within the organization, location, or context represented by another entity.
-
D.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
E.
involvedInWork
Indicates that an entity participates in, contributes to, or is otherwise engaged in a particular work, project, or activity.
- 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_69e295341ac0819080647f2908af793c |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cd029be48190b9319e59bf5d3a4d |
completed | April 29, 2026, 9:18 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:25 p.m.