Triple

T11093696
Position Surface form Disambiguated ID Type / Status
Subject Lendu language E262318 entity
Predicate hasAlternativeName P39 FINISHED
Object Lendu-Bale
Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
 E905404 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: Lendu-Bale | Statement: [Lendu language, hasAlternativeName, Lendu-Bale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lendu-Bale
Context triple: [Lendu language, hasAlternativeName, Lendu-Bale]
  • A. Bundu-Liwan
    Bundu-Liwan is a major dialect of the Kadazan Dusun language spoken by indigenous communities in Sabah, Malaysia.
  • B. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • C. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • D. Mbalanhu
    Mbalanhu is a Bantu language variety spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
  • E. Lubemba
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • 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: Lendu-Bale
Triple: [Lendu language, hasAlternativeName, Lendu-Bale]
Generated description
Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lendu-Bale
Target entity description: Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
  • A. Bundu-Liwan
    Bundu-Liwan is a major dialect of the Kadazan Dusun language spoken by indigenous communities in Sabah, Malaysia.
  • B. Biloela
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • C. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • D. Mbalanhu
    Mbalanhu is a Bantu language variety spoken by a subgroup of the Ovambo people in northern Namibia and southern Angola.
  • E. Lubemba
    Lubemba is the traditional kingdom and cultural heartland of the Bemba people in what is now northern Zambia.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ed12d88190a4ad8c346d68f11f completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d69c8b4819092614e83e855430e completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.