Triple
T6505741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ميرامار |
E150000
|
entity |
| Predicate | النوع_السردي |
P11858
|
FINISHED |
| Object | رواية بتيار وعي متعدد الرواة |
—
|
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 بتيار وعي متعدد الرواة | Statement: [ميرامار, النوع_السردي, رواية بتيار وعي متعدد الرواة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: النوع_السردي Context triple: [ميرامار, النوع_السردي, رواية بتيار وعي متعدد الرواة]
-
A.
narrativeType
chosen
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
storyBy
Indicates that one entity is the creator or author of the story associated with another entity.
-
C.
narratorType
Indicates the narrative perspective or role from which a story or account is being told.
-
D.
narrativeTradition
Indicates the storytelling customs, conventions, or patterns that shape how narratives are typically told within a particular culture, group, or context.
-
E.
narrativeSeries
Indicates that one narrative work belongs to, or is part of, an ordered series of related narratives.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.