Triple
T24255999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرحان البحيري |
E603669
|
entity |
| Predicate | مكان_أحداث_العمل_الظاهر_فيه |
P49732
|
FINISHED |
| Object | الإسكندرية |
—
|
NE NERFINISHED |
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: الإسكندرية | Statement: [سرحان البحيري, مكان_أحداث_العمل_الظاهر_فيه, الإسكندرية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكان_أحداث_العمل_الظاهر_فيه Context triple: [سرحان البحيري, مكان_أحداث_العمل_الظاهر_فيه, الإسكندرية]
-
A.
takesPlace
Indicates that an event or action occurs or is situated at a particular time, place, or context.
-
B.
locationOfEventDescribed
chosen
Indicates that one entity is the place or setting where the event described by another entity occurs.
-
C.
eventLocationOfNotableActivity
Indicates that a location is the place where a notable or significant activity or event involving the related entity occurred.
-
D.
significantEventPlace
Indicates the place where a significant event occurred or is associated with an entity.
-
E.
takesPlaceInRegion
Indicates that an event or occurrence happens within the boundaries of a specified geographic or administrative region.
- 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_69e29540da0481909a38bdae315b7a02 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6284dc8190a357f15d95b0360a |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:05 a.m.