Triple

T14269676
Position Surface form Disambiguated ID Type / Status
Subject Ra’iisul wasaaraha Jabuuti E353745 entity
Predicate relatedOffice P37 FINISHED
Object Madaxweynaha Jabuuti
Madaxweynaha Jabuuti waa madaxwaynaha iyo hoggaamiyaha ugu sarreeya ee dalka Jabuuti, kana ah madaxa dowladda iyo astaanta midnimada qaranka.
 E1089359 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: Madaxweynaha Jabuuti | Statement: [Ra’iisul wasaaraha Jabuuti, relatedOffice, Madaxweynaha Jabuuti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Madaxweynaha Jabuuti
Context triple: [Ra’iisul wasaaraha Jabuuti, relatedOffice, Madaxweynaha Jabuuti]
  • A. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • B. Mambae
    Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
  • C. Njabi
    Njabi is an alternate name for the Njebi language, a Bantu language spoken primarily in Gabon.
  • D. Jibowu
    Jibowu is a busy urban district in Lagos, Nigeria, known as a major transport hub with numerous intercity bus terminals and easy access to key city routes.
  • E. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • 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: Madaxweynaha Jabuuti
Triple: [Ra’iisul wasaaraha Jabuuti, relatedOffice, Madaxweynaha Jabuuti]
Generated description
Madaxweynaha Jabuuti waa madaxwaynaha iyo hoggaamiyaha ugu sarreeya ee dalka Jabuuti, kana ah madaxa dowladda iyo astaanta midnimada qaranka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Madaxweynaha Jabuuti
Target entity description: Madaxweynaha Jabuuti waa madaxwaynaha iyo hoggaamiyaha ugu sarreeya ee dalka Jabuuti, kana ah madaxa dowladda iyo astaanta midnimada qaranka.
  • A. El Waily
    El Waily is a central urban district of Cairo, Egypt, known for its dense residential neighborhoods and mixed commercial areas.
  • B. Mambae
    Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
  • C. Njabi
    Njabi is an alternate name for the Njebi language, a Bantu language spoken primarily in Gabon.
  • D. Jibowu
    Jibowu is a busy urban district in Lagos, Nigeria, known as a major transport hub with numerous intercity bus terminals and easy access to key city routes.
  • E. Dschubba
    Dschubba is a bright multiple star system that forms the "head" of the constellation Scorpius and is designated Delta Scorpii.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32682a0481908918570a778e185a completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd3325e8448190960da169f7f9fe40 completed May 8, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69fd33fd92608190a0dcaaafe0cfc51a completed May 8, 2026, 12:53 a.m.
Created at: April 10, 2026, 1:10 a.m.