Triple

T14010285
Position Surface form Disambiguated ID Type / Status
Subject Jos South E337059 entity
Predicate hasSettlement P1068 FINISHED
Object Du
Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
 E1073878 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: Du | Statement: [Jos South, hasSettlement, Du]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Du
Context triple: [Jos South, hasSettlement, Du]
  • A. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • B. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • C. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • D. DU
    DU is an automated underwriting system developed by Fannie Mae that evaluates mortgage loan applications and assesses borrower credit risk.
  • E. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • 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: Du
Triple: [Jos South, hasSettlement, Du]
Generated description
Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Du
Target entity description: Du is a town and administrative settlement located within Jos South Local Government Area in Plateau State, Nigeria.
  • A. Du
    Du is a Chinese surname historically borne by notable figures such as the Tang dynasty poet Du Fu.
  • B. DU
    DU is a premier public central university in India, renowned for its diverse academic programs and large collegiate system based in New Delhi.
  • C. DU
    DU is the vehicle registration code used on license plates for the German city of Duisburg.
  • D. DU
    DU is an automated underwriting system developed by Fannie Mae that evaluates mortgage loan applications and assesses borrower credit risk.
  • E. DU
    DU is the commonly used abbreviation for the University of Dhaka, a leading public research university in Bangladesh.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae6691b48190a0affc662cbb2d4e completed May 6, 2026, 9:11 p.m.
NED2 Entity disambiguation (via description) batch_69fbaf702c94819095347e2599ae9931 completed May 6, 2026, 9:15 p.m.
Created at: April 9, 2026, 10:19 p.m.