Triple

T2334381
Position Surface form Disambiguated ID Type / Status
Subject Khartoum North E44276 entity
Predicate hasAlternativeName P39 FINISHED
Object Bahri
Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
 E255452 NE FINISHED

How this triple was built (4 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: Bahri | Statement: [Khartoum North, hasAlternativeName, Bahri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bahri
Context triple: [Khartoum North, hasAlternativeName, Bahri]
  • A. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • B. Haliç
    Haliç is the Turkish name for the Golden Horn, the historic estuary that forms a natural harbor and inlet of the Bosphorus in Istanbul.
  • C. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • D. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • E. Peraia
    Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bahri
Triple: [Khartoum North, hasAlternativeName, Bahri]
Generated description
Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bahri
Target entity description: Bahri is the commonly used Arabic name for Khartoum North, a major city forming part of Sudan’s capital metropolitan area.
  • A. Baheri
    Baheri is a town located in the Darbhanga district of the Indian state of Bihar.
  • B. Haliç
    Haliç is the Turkish name for the Golden Horn, the historic estuary that forms a natural harbor and inlet of the Bosphorus in Istanbul.
  • C. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • D. Oea
    Oea was an important ancient city in North Africa, located on the site of modern-day Tripoli in present-day Libya.
  • E. Peraia
    Peraia is a locality in Greece known historically as the place where Ecuadorian statesman and first president Juan José Flores died.
  • F. None of above. chosen

Provenance (5 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8979bca08190aac46ef3dc1a2be2 completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8a4a55c4819082b10a5995395e46 completed March 9, 2026, 8:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ae561c081908f64fb7ca43d928e completed March 9, 2026, 8:55 a.m.
Created at: March 4, 2026, 7:51 p.m.