Triple

T6202927
Position Surface form Disambiguated ID Type / Status
Subject Dongola E138678 entity
Predicate hasAlternativeName P39 FINISHED
Object Old Dongola E138678 NE 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: Old Dongola | Statement: [Dongola, hasAlternativeName, Old Dongola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Dongola
Context triple: [Dongola, hasAlternativeName, Old Dongola]
  • A. Dongola chosen
    Dongola is a historic town in northern Sudan that served as a major political and cultural center of medieval Nubian kingdoms along the Nile.
  • B. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • C. Hawara
    Hawara is an archaeological site in Egypt’s Faiyum region, best known for its Middle Kingdom pyramid complex and the famed “Labyrinth” described by ancient writers.
  • D. Ain Sokhna
    Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
  • E. Safaga
    Safaga is a coastal town and port on Egypt’s Red Sea coast known for its diving sites, black sand beaches, and therapeutic tourism.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008acbea48190991c6b834bb45d65 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0626a32908190a3332008aee2e4a9 completed March 22, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f3bad2c8190b0ad0f2def3af9f7 completed March 23, 2026, 4:50 p.m.
Created at: March 22, 2026, 4:20 p.m.