Triple

T6775011
Position Surface form Disambiguated ID Type / Status
Subject Naman E155133 entity
Predicate alternateName P39 FINISHED
Object Litzlitz
Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
 E617132 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: Litzlitz | Statement: [Naman, alternateName, Litzlitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Litzlitz
Context triple: [Naman, alternateName, Litzlitz]
  • A. Laynez
    Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
  • B. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • C. Lazikē
    Lazikē is the historical region on the eastern coast of the Black Sea, in what is now western Georgia, that served as the homeland of the Laz people and a strategic frontier between the Byzantine and Sasanian empires.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Schaal
    Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
  • 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: Litzlitz
Triple: [Naman, alternateName, Litzlitz]
Generated description
Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Litzlitz
Target entity description: Litzlitz is a language of Vanuatu, also known as Naman, spoken by a small community on the island of Malakula.
  • A. Laynez
    Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
  • B. Litovel
    Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
  • C. Lazikē
    Lazikē is the historical region on the eastern coast of the Black Sea, in what is now western Georgia, that served as the homeland of the Laz people and a strategic frontier between the Byzantine and Sasanian empires.
  • D. Lillete
    Lillete is an alcoholic beverage brand that forms part of Pernod Ricard’s global spirits and drinks portfolio.
  • E. Schaal
    Schaal is a surname most notably associated with American actress Wendy Schaal, known for her work in film and television voice acting.
  • 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_69c68812ef7c819099369f51febb725c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d24ddaf08190baffbff991eeb458 completed March 27, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712ca48d88190b9f47b23264d4264 completed March 27, 2026, 11:29 p.m.
NEDg Description generation batch_69c713d2fad881909ac1b96ba4353bfe completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c71478072481909e396a2ac39f0f3a completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:13 p.m.