Triple
T26472259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | محافظة الدقهلية |
E665932
|
entity |
| Predicate | عملة_رسمية |
P36099
|
FINISHED |
| Object | الجنيه 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: الجنيه المصري | Statement: [محافظة الدقهلية, عملة_رسمية, الجنيه المصري]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: عملة_رسمية Context triple: [محافظة الدقهلية, عملة_رسمية, الجنيه المصري]
-
A.
officialNameOfCurrency
Indicates the officially designated name of a particular currency used by an entity.
-
B.
representsOfficialCurrency
chosen
Indicates that one entity serves as the official legal tender or primary currency used within the jurisdiction or authority of another entity.
-
C.
currencyOfOfficialEmblem
Indicates the currency that is depicted or symbolically represented on an official emblem.
-
D.
currencyDepicted
Indicates that one entity visually represents or shows the image or symbol of a particular currency on it.
-
E.
formerCurrency
Indicates that an entity was once used as a currency in a place or time period but is no longer in official use.
- 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_69ee883f80dc819090e311b022b78e02 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612c8eb1881909aa03c234e3abcb4 |
completed | May 2, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:20 a.m.