Triple

T10775780
Position Surface form Disambiguated ID Type / Status
Subject western Sudan E254192 entity
Predicate hasMajorCity P316 FINISHED
Object Zalingei
Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
 E885006 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: Zalingei | Statement: [western Sudan, hasMajorCity, Zalingei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zalingei
Context triple: [western Sudan, hasMajorCity, Zalingei]
  • A. Zhalantun
    Zhalantun is a county-level city in northeastern Inner Mongolia, China, known for its forests, grasslands, and role as an agricultural and forestry center.
  • B. Ghalghai
    Ghalghai is the self-designation of the Ingush people, a Northeast Caucasian ethnic group native to the North Caucasus region of Russia.
  • C. Borjigin
    Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
  • D. Hulunbuir
    Hulunbuir is a vast prefecture-level city in northeastern China renowned for its expansive grasslands, diverse ethnic cultures, and rich natural resources.
  • E. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • 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: Zalingei
Triple: [western Sudan, hasMajorCity, Zalingei]
Generated description
Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zalingei
Target entity description: Zalingei is a major city in the Darfur region of western Sudan, serving as an important administrative and commercial center.
  • A. Zhalantun
    Zhalantun is a county-level city in northeastern Inner Mongolia, China, known for its forests, grasslands, and role as an agricultural and forestry center.
  • B. Ghalghai
    Ghalghai is the self-designation of the Ingush people, a Northeast Caucasian ethnic group native to the North Caucasus region of Russia.
  • C. Borjigin
    Borjigin is the royal clan of Genghis Khan and his descendants, forming the ruling lineage of the Mongol Empire and several successor states.
  • D. Hulunbuir
    Hulunbuir is a vast prefecture-level city in northeastern China renowned for its expansive grasslands, diverse ethnic cultures, and rich natural resources.
  • E. Selenge
    Selenge is a northern Mongolian province (aimag) known for its agricultural lands and strategic location along the border with Russia.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329cc6c881908f827edff941d456 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.