Triple
T22526881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الحرام |
E556927
|
entity |
| Predicate | الموقع الجغرافي للأحداث |
P49732
|
FINISHED |
| Object | الريف 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: الريف المصري | Statement: [الحرام, الموقع الجغرافي للأحداث, الريف المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الموقع الجغرافي للأحداث Context triple: [الحرام, الموقع الجغرافي للأحداث, الريف المصري]
-
A.
locationOfEventDescribed
chosen
Indicates that one entity is the place or setting where the event described by another entity occurs.
-
B.
geographicalEffect
Indicates how one geographical feature, condition, or event influences or alters another in terms of physical, environmental, or spatial characteristics.
-
C.
significantEventPlace
Indicates the place where a significant event occurred or is associated with an entity.
-
D.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
E.
geographyBehavior
Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed411488190a51320930b9805c2 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.