Triple

T10775779
Position Surface form Disambiguated ID Type / Status
Subject western Sudan E254192 entity
Predicate hasMajorCity P316 FINISHED
Object El Geneina
El Geneina is a major city in Sudan’s Darfur region, serving as the capital of West Darfur state and a key center of trade and administration near the border with Chad.
E885005 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: El Geneina | Statement: [western Sudan, hasMajorCity, El Geneina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: El Geneina
Context triple: [western Sudan, hasMajorCity, El Geneina]
  • A. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • B. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • C. Jabala
    Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
  • D. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • E. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • 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: El Geneina
Triple: [western Sudan, hasMajorCity, El Geneina]
Generated description
El Geneina is a major city in Sudan’s Darfur region, serving as the capital of West Darfur state and a key center of trade and administration near the border with Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: El Geneina
Target entity description: El Geneina is a major city in Sudan’s Darfur region, serving as the capital of West Darfur state and a key center of trade and administration near the border with Chad.
  • A. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • B. Hillah
    Hillah is a city in central Iraq on the Euphrates River, known as the modern settlement adjacent to the ruins of ancient Babylon.
  • C. Jabala
    Jabala is a historic coastal city in modern-day Syria that served as a significant urban center during the Crusader-era Principality of Antioch.
  • D. Ain al-Tamur
    Ain al-Tamur is a town in central Iraq known for its date palm oases and historical sites, located within the Karbala Governorate.
  • E. Madayya
    Madayya was a poet who served in the royal court of the Vijayanagara emperor Sri Krishnadevaraya.
  • 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.