Triple

T22951472
Position Surface form Disambiguated ID Type / Status
Subject Lenje language E570029 entity
Predicate alternativeName P39 FINISHED
Object Lenge
Lenge is an alternative name for the Lenje language, a Bantu language spoken primarily in Zambia.
E1563490 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: Lenge | Statement: [Lenje language, alternativeName, Lenge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lenge
Context triple: [Lenje language, alternativeName, Lenge]
  • A. Loenga
    Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
  • B. Lunga
    Lunga is a Scottish island in the Treshnish Isles, known for its dramatic cliffs and large seabird colonies, especially puffins.
  • C. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • D. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • E. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • 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: Lenge
Triple: [Lenje language, alternativeName, Lenge]
Generated description
Lenge is an alternative name for the Lenje language, a Bantu language spoken primarily in Zambia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lenge
Target entity description: Lenge is an alternative name for the Lenje language, a Bantu language spoken primarily in Zambia.
  • A. Loenga
    Loenga is a small residential and industrial neighborhood in Oslo, Norway, situated near the railway yards and the Oslofjord.
  • B. Lunga
    Lunga is a Scottish island in the Treshnish Isles, known for its dramatic cliffs and large seabird colonies, especially puffins.
  • C. Lilangeni
    The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
  • D. Lugensa
    Lugensa is a genus of seabirds in the petrel family Procellariidae, comprising medium-sized, oceanic birds adapted to long-distance flight over open waters.
  • E. Hlengwe
    Hlengwe is a regional dialect of the Tsonga language spoken by Tsonga communities in parts of southern Africa.
  • 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181a285448190a718734fe933d51a completed April 29, 2026, 3:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca17e51881909f147ae8677e2a90 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bcaebed688190b2ea74c588922d98 completed May 19, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcbec354081909dbeeb389e86d38c completed May 19, 2026, 2:33 a.m.
Created at: April 17, 2026, 3:46 p.m.