Triple

T15945133
Position Surface form Disambiguated ID Type / Status
Subject Sheko E386664 entity
Predicate hasNativeName P1435 FINISHED
Object Šeko
Šeko is the endonym (native name) of the Sheko language spoken by the Sheko people of southwestern Ethiopia.
 E1185233 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: Šeko | Statement: [Sheko, hasNativeName, Šeko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Šeko
Context triple: [Sheko, hasNativeName, Šeko]
  • A. Shekini
    Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
  • B. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • C. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • D. Šilo
    Šilo is a small coastal village and tourist resort on the northeastern shore of the Croatian island of Krk, known for its beaches and tranquil seaside atmosphere.
  • E. Shekt
    Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
  • 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: Šeko
Triple: [Sheko, hasNativeName, Šeko]
Generated description
Šeko is the endonym (native name) of the Sheko language spoken by the Sheko people of southwestern Ethiopia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Šeko
Target entity description: Šeko is the endonym (native name) of the Sheko language spoken by the Sheko people of southwestern Ethiopia.
  • A. Shekini
    Shekini is a popular Afrobeat/dancehall song by Nigerian music duo P-Square known for its energetic rhythm and club-friendly vibe.
  • B. Sukošan
    Sukošan is a coastal village and popular tourist destination on the Adriatic Sea in Croatia, known for its marina and beaches near the city of Zadar.
  • C. Šakiai
    Šakiai is a small town in central Lithuania known as an administrative and local cultural center of the surrounding rural region.
  • D. Šilo
    Šilo is a small coastal village and tourist resort on the northeastern shore of the Croatian island of Krk, known for its beaches and tranquil seaside atmosphere.
  • E. Shekt
    Shekt is the surname of Dr. Shekt, a fictional scientist character appearing in Isaac Asimov’s novel "The End of Eternity."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb677927c8190bd45e7bae5fcf1ed completed May 9, 2026, 10:34 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7468fb88190a56cf1df5bd20f63 completed May 9, 2026, 10:37 p.m.
Created at: April 10, 2026, 4:53 a.m.