Triple

T10778427
Position Surface form Disambiguated ID Type / Status
Subject Pacific Coast Athabaskan E254254 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Lassik
Lassik is an extinct Athabaskan language once spoken by the Lassik people in northern California.
 E886297 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: Lassik | Statement: [Pacific Coast Athabaskan, hasMemberLanguage, Lassik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lassik
Context triple: [Pacific Coast Athabaskan, hasMemberLanguage, Lassik]
  • A. Limonada
    Limonada is a studio album by Puerto Rican singer-songwriter Kany García, known for its blend of Latin pop and introspective, emotionally rich songwriting.
  • B. La Suze
    La Suze is a French bitter apéritif made from gentian root and other botanicals, known for its bright yellow color and distinctive, slightly herbal flavor.
  • C. Maza
    Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
  • D. Martell
    Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
  • E. Brandy
    Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
  • 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: Lassik
Triple: [Pacific Coast Athabaskan, hasMemberLanguage, Lassik]
Generated description
Lassik is an extinct Athabaskan language once spoken by the Lassik people in northern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lassik
Target entity description: Lassik is an extinct Athabaskan language once spoken by the Lassik people in northern California.
  • A. Limonada
    Limonada is a studio album by Puerto Rican singer-songwriter Kany García, known for its blend of Latin pop and introspective, emotionally rich songwriting.
  • B. La Suze
    La Suze is a French bitter apéritif made from gentian root and other botanicals, known for its bright yellow color and distinctive, slightly herbal flavor.
  • C. Maza
    Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
  • D. Martell
    Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
  • E. Brandy
    Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c25478819093dedec0c8556777 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55e9fe2081909acbfba7a65be18e completed April 14, 2026, 2:57 p.m.
NEDg Description generation batch_69de5eacae148190b7ca2da87427572e completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de6397ff688190b6788489895a5360 completed April 14, 2026, 3:56 p.m.
Created at: April 8, 2026, 9:16 p.m.