Triple
T26138101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | منف |
E659435
|
entity |
| Predicate | تراجعت_أهميتها_بعد |
P19208
|
FINISHED |
| Object | صعود الإسكندرية |
—
|
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: صعود الإسكندرية | Statement: [منف, تراجعت_أهميتها_بعد, صعود الإسكندرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تراجعت_أهميتها_بعد Context triple: [منف, تراجعت_أهميتها_بعد, صعود الإسكندرية]
-
A.
lostImportanceUnder
Indicates that one entity’s importance or prominence decreased when another specified entity came into power, control, or influence.
-
B.
declinedInPopularity
Indicates that something has become less popular or less favored over a period of time.
-
C.
declineAfter
chosen
Indicates that one entity or value decreases or worsens following another specified event, condition, or point in time.
-
D.
declineIn
Indicates a relationship where one entity experiences a decrease or reduction in the level, amount, or intensity of another entity over time.
-
E.
impactOfRetreat
Indicates the effects or consequences that a retreat has on relevant entities, conditions, or outcomes.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60be1d2408190820365bf7d8436bd |
completed | May 2, 2026, 2:36 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:18 p.m.