Triple

T22526746
Position Surface form Disambiguated ID Type / Status
Subject عمر الشريف E556924 entity
Predicate مكان الميلاد P1 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: [عمر الشريف, مكان الميلاد, الإسكندرية]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: الإسكندرية
Context triple: [عمر الشريف, مكان الميلاد, الإسكندرية]
  • A. Aleksandriya
    Aleksandriya is an archaeological site in Ukraine associated with the prehistoric Sredny Stog culture, known for its early evidence of horse domestication and steppe pastoralism.
  • B. Alexandria, Egypt chosen
    Alexandria, Egypt is a historic Mediterranean port city founded by Alexander the Great, renowned for its ancient library, lighthouse, and enduring cultural significance in Egypt.
  • C. Alexandreia
    Alexandreia is a town in northern Greece, located in the regional unit of Imathia within Central Macedonia.
  • D. Cairo
    Cairo is the capital and largest city of Egypt, a historic metropolis on the Nile renowned for its rich Islamic heritage and proximity to the ancient pyramids.
  • E. Cairo
    "Cairo" is a 1942 American musical comedy film starring Jeanette MacDonald as a reporter entangled in wartime espionage and romantic intrigue.
  • 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_69f15ed352b48190a96ef2896f2978cd completed April 29, 2026, 1:28 a.m.
Created at: April 16, 2026, 8:51 p.m.