Triple

T1040302
Position Surface form Disambiguated ID Type / Status
Subject Gheg E22454 entity
Predicate hasAlternativeName P39 FINISHED
Object Geg
Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
 E120209 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: Geg | Statement: [Gheg, hasAlternativeName, Geg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Geg
Context triple: [Gheg, hasAlternativeName, Geg]
  • A. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • B. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • E. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • 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: Geg
Triple: [Gheg, hasAlternativeName, Geg]
Generated description
Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Geg
Target entity description: Geg is an alternative name for Gheg, the northern dialect group of the Albanian language spoken primarily in northern Albania and surrounding regions.
  • A. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • B. Gyes
    Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
  • C. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • D. Gelem Gelem
    Gelem Gelem is the Romani people’s anthem, a song that expresses their shared history, suffering, and cultural identity.
  • E. Gee
    Gee was a World War II-era British radio navigation system that enabled Royal Air Force bombers to determine their position and improve bombing accuracy, especially during night operations.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82e4d2c81909ca1264852baf04d completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc58d8c8190b9dc7a4bc986abcb completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3cf534008190a034d71c90f35efd completed March 7, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d61a0c48190b619b3049df33512 completed March 7, 2026, 2:59 p.m.
Created at: March 1, 2026, 7:41 p.m.