Triple

T9187486
Position Surface form Disambiguated ID Type / Status
Subject MorphOS E220495 entity
Predicate supportsPlatform P203 FINISHED
Object Efika
Efika is a low-power, small-form-factor computer platform based on PowerPC architecture, designed for efficiency and embedded or lightweight desktop use.
 E784399 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: Efika | Statement: [MorphOS, supportsPlatform, Efika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Efika
Context triple: [MorphOS, supportsPlatform, Efika]
  • A. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • D. Elishua
    Elishua is a biblical figure mentioned in the Hebrew Bible as one of King David’s sons.
  • E. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • 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: Efika
Triple: [MorphOS, supportsPlatform, Efika]
Generated description
Efika is a low-power, small-form-factor computer platform based on PowerPC architecture, designed for efficiency and embedded or lightweight desktop use.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Efika
Target entity description: Efika is a low-power, small-form-factor computer platform based on PowerPC architecture, designed for efficiency and embedded or lightweight desktop use.
  • A. Elviro
    Elviro is a comic servant character from George Frideric Handel’s opera "Serse," known for his humorous disguises and light-hearted scenes.
  • B. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • C. Erfe
    Erfe is the surname of Elaine Mendoza Erfe, best known as the wife of American comedian Dave Chappelle.
  • D. Elishua
    Elishua is a biblical figure mentioned in the Hebrew Bible as one of King David’s sons.
  • E. Firiplaka
    Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31bd6f88190b2ea644420995e41 completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c226bc881909609da0bfbd4748e completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d060881c908190b22d06eaf9f8b192 completed April 4, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69d0611e76988190be93d1d3dd8f1ab1 completed April 4, 2026, 12:53 a.m.
Created at: March 30, 2026, 7:24 p.m.