Triple

T763083
Position Surface form Disambiguated ID Type / Status
Subject Eritrea E16113 entity
Predicate recognizedNationalLanguage P236 FINISHED
Object Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
E90064 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: Bilen | Statement: [Eritrea, recognizedNationalLanguage, Bilen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilen
Context triple: [Eritrea, recognizedNationalLanguage, Bilen]
  • A. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • B. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • C. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • D. Red Duster
    The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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: Bilen
Triple: [Eritrea, recognizedNationalLanguage, Bilen]
Generated description
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bilen
Target entity description: Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
  • A. L’Auto
    L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
  • B. The Diesel
    The Diesel is the nickname of Pro Football Hall of Fame running back John Riggins, renowned for his powerful, hard-charging rushing style with the Washington Redskins.
  • C. Mobil
    Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
  • D. Red Duster
    The Red Duster is the traditional British civil ensign, a red flag with the Union Jack in the canton historically flown by British merchant ships.
  • E. Sauer
    Sauer is a German surname borne by various notable individuals in fields such as science, politics, and the arts.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6841f388190a6d08c3bf5c17fe4 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a65e46d86c81908bc0ea469ccb091d completed March 3, 2026, 4:06 a.m.
NEDg Description generation batch_69a65eeaa34481909b0deac860fbadfc completed March 3, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69a65f7b09b08190bf38f02a912b2276 completed March 3, 2026, 4:11 a.m.
Created at: March 1, 2026, 7:37 p.m.