Triple

T10586627
Position Surface form Disambiguated ID Type / Status
Subject Kadu languages E249870 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Tese language
Tese is a lesser-known Kadu (Kadugli) language spoken by an ethnic minority community in the Nuba Mountains region of Sudan.
E872583 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: Tese language | Statement: [Kadu languages, hasMemberLanguage, Tese language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tese language
Context triple: [Kadu languages, hasMemberLanguage, Tese language]
  • A. Teso language
    Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • B. Temein languages
    The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
  • C. Teressa language
    Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
  • D. Seinlanguage
    Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
  • E. Talise language
    The Talise language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic subgroup of the Austronesian language family.
  • 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: Tese language
Triple: [Kadu languages, hasMemberLanguage, Tese language]
Generated description
Tese is a lesser-known Kadu (Kadugli) language spoken by an ethnic minority community in the Nuba Mountains region of Sudan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tese language
Target entity description: Tese is a lesser-known Kadu (Kadugli) language spoken by an ethnic minority community in the Nuba Mountains region of Sudan.
  • A. Teso language
    Teso language is an Eastern Nilotic language spoken primarily by the Iteso people in eastern Uganda and western Kenya.
  • B. Temein languages
    The Temein languages are a small group of Eastern Sudanic languages spoken primarily in the Nuba Mountains of Sudan.
  • C. Teressa language
    Teressa language is an Austroasiatic language spoken by the Nicobarese community on Teressa Island in India’s Nicobar Islands.
  • D. Seinlanguage
    Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
  • E. Talise language
    The Talise language is an Oceanic language spoken in the Solomon Islands, belonging to the Southeast Solomonic subgroup of the Austronesian language family.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5276b0ae48190b2935230363239e0 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b8b1b708190865e428128f98720 completed April 10, 2026, 7:12 p.m.
NEDg Description generation batch_69d94d68f39c8190bc7ea90237a5bf5f completed April 10, 2026, 7:20 p.m.
NED2 Entity disambiguation (via description) batch_69d9522d68b88190a63acb6d657168b4 completed April 10, 2026, 7:40 p.m.
Created at: April 6, 2026, 12:39 p.m.