Triple
T22527398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zahrat El-Ola |
E556942
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zahrat El-Ola |
—
|
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: Zahrat El-Ola | Statement: [Zahrat El-Ola, name, Zahrat El-Ola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zahrat El-Ola Context triple: [Zahrat El-Ola, name, Zahrat El-Ola]
-
A.
Zahrat El-Ola
chosen
Zahrat El-Ola was a prominent Egyptian film actress known for her roles in classic mid-20th-century Arabic cinema.
-
B.
El-Wad
El-Wad is a key prehistoric archaeological site on Mount Carmel in Israel, notable for its rich remains from the Natufian culture that illuminate the transition from foraging to early sedentary life in the Levant.
-
C.
Kasr Al Ainy
Kasr Al Ainy is a historic medical campus and hospital complex in Cairo that serves as the main site of Cairo University's Faculty of Medicine.
-
D.
Badawiyya
Badawiyya is a Sufi order originating in Egypt and associated with the veneration and teachings of the 13th-century mystic Ahmad al-Badawi.
-
E.
Kafr El Dawwar
Kafr El Dawwar is an industrial city in northern Egypt known for its textile factories and strategic location near Alexandria in the Nile Delta.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 8:51 p.m.