Triple

T23447136
Position Surface form Disambiguated ID Type / Status
Subject Northern State, Sudan E565568 entity
Predicate largestCity P235 FINISHED
Object Dongola 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: Dongola | Statement: [Northern State, Sudan, largestCity, Dongola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongola
Context triple: [Northern State, Sudan, largestCity, 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. 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.
  • C. Kenuzi-Dongola
    Kenuzi-Dongola is a Nubian language of the Eastern Sudanic branch spoken primarily along the Nile in southern Egypt and northern Sudan.
  • D. Ras Lanuf
    Ras Lanuf is a major oil port and industrial town on Libya’s Mediterranean coast, known for its large refinery and strategic role in the country’s petroleum exports.
  • E. Adigrat
    Adigrat is a major town in northern Ethiopia known as a commercial and administrative center near the Eritrean border.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a649f7e8819080aeb120afd57aad completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.