Triple

T12843825
Position Surface form Disambiguated ID Type / Status
Subject Eritrean Orthodox liturgy E307120 entity
Predicate hasPoeticForm P3660 FINISHED
Object Qene
Qene is a traditional form of improvised, metaphor-rich religious poetry central to Eritrean and Ethiopian Orthodox Christian worship and scholarship.
 E1006063 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: Qene | Statement: [Eritrean Orthodox liturgy, hasPoeticForm, Qene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Qene
Context triple: [Eritrean Orthodox liturgy, hasPoeticForm, Qene]
  • A. Genetz
    Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
  • B. Geneina
    Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • C. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • D. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • E. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • 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: Qene
Triple: [Eritrean Orthodox liturgy, hasPoeticForm, Qene]
Generated description
Qene is a traditional form of improvised, metaphor-rich religious poetry central to Eritrean and Ethiopian Orthodox Christian worship and scholarship.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Qene
Target entity description: Qene is a traditional form of improvised, metaphor-rich religious poetry central to Eritrean and Ethiopian Orthodox Christian worship and scholarship.
  • A. Genetz
    Genetz is a Finnish surname most notably associated with Arvid Genetz, a 19th-century linguist, poet, and politician.
  • B. Geneina
    Geneina is a city in western Sudan that serves as a major urban center in Darfur and a focal point for the Masalit people.
  • C. Geno
    Geno is the widely used nickname of Hall of Fame University of Connecticut women's basketball coach Geno Auriemma.
  • D. Geno
    Geno is a young male deer character from Disney's Bambi franchise, depicted as the son of Bambi and Faline.
  • E. Segeneiti
    Segeneiti is a town in southern Eritrea known for its agricultural surroundings and role as a local commercial center.
  • 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9fa40c8190bbc2c6ad22795de4 completed May 3, 2026, 12:49 a.m.
NEDg Description generation batch_69f69ca6358c8190bb076249864f81a8 completed May 3, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69f69dc8b86c81908557fa8538e942de completed May 3, 2026, 12:58 a.m.
Created at: April 9, 2026, 5:36 p.m.