Triple

T8938154
Position Surface form Disambiguated ID Type / Status
Subject Kufra region E212829 entity
Predicate contains P35 FINISHED
Object Buema
Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
 E767642 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: Buema | Statement: [Kufra region, contains, Buema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Buema
Context triple: [Kufra region, contains, Buema]
  • A. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • B. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • C. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • D. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • E. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • 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: Buema
Triple: [Kufra region, contains, Buema]
Generated description
Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Buema
Target entity description: Buema is a locality situated within the Kufra region of southeastern Libya, an area known for its desert landscapes and oasis settlements.
  • A. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • B. Ngola
    Ngola is an alternative name for the Angolar people, a community of African descent primarily associated with São Tomé and Príncipe.
  • C. Ngazidja
    Ngazidja, also known as Grande Comore, is the largest island of the Comoros archipelago in the Indian Ocean and home to the nation’s capital.
  • D. N’Guigmi
    N’Guigmi is a town and commune in southeastern Niger, located near Lake Chad and serving as an important local center for trade and transport.
  • E. Itumbiara
    Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1e692548190b631c4926927d12f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2b23be0819089503ca761f3f0b4 completed April 3, 2026, 1:37 p.m.
NED2 Entity disambiguation (via description) batch_69cfc3731fbc8190bd3efc9a9786d078 completed April 3, 2026, 1:41 p.m.
Created at: March 30, 2026, 6:58 p.m.