Triple
T6505724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ميرامار |
E150000
|
entity |
| Predicate | جزء_من |
P52847
|
FINISHED |
| Object | مشروع نجيب محفوظ الروائي عن المجتمع المصري |
—
|
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: مشروع نجيب محفوظ الروائي عن المجتمع المصري | Statement: [ميرامار, جزء_من, مشروع نجيب محفوظ الروائي عن المجتمع المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جزء_من Context triple: [ميرامار, جزء_من, مشروع نجيب محفوظ الروائي عن المجتمع المصري]
-
A.
partOfType
Indicates that one entity represents a component, segment, or subset that belongs to or is included within the type or category represented by another entity.
-
B.
deltaPartOf
Indicates that one entity represents a changed, differing, or modified portion of another entity, rather than the whole.
-
C.
partOfSingle
Indicates that one entity is a component or member of exactly one specific whole or collection, and not shared among multiple such wholes.
-
D.
hasPartIn
Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
-
E.
consideredPartOf
chosen
Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
- 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.