Triple

T11575215
Position Surface form Disambiguated ID Type / Status
Subject Mbum languages E274485 entity
Predicate hasMemberLanguage P7390 FINISHED
Object Kim language
The Kim language is a Central Chadic (Afro-Asiatic) language spoken by the Kim people in parts of Chad.
E934392 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: Kim language | Statement: [Mbum languages, hasMemberLanguage, Kim language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kim language
Context triple: [Mbum languages, hasMemberLanguage, Kim language]
  • A. Jangil language
    The Jangil language is an extinct and poorly documented Ongan language once spoken by the Jangil (Rutland Island) people of the Andaman Islands in India.
  • B. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • C. Karen languages
    The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
  • D. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • E. Khitan language
    The Khitan language was the now-extinct tongue of the Khitan people of Northeast Asia, written in unique scripts and used by the ruling elite of the Liao dynasty.
  • 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: Kim language
Triple: [Mbum languages, hasMemberLanguage, Kim language]
Generated description
The Kim language is a Central Chadic (Afro-Asiatic) language spoken by the Kim people in parts of Chad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kim language
Target entity description: The Kim language is a Central Chadic (Afro-Asiatic) language spoken by the Kim people in parts of Chad.
  • A. Jangil language
    The Jangil language is an extinct and poorly documented Ongan language once spoken by the Jangil (Rutland Island) people of the Andaman Islands in India.
  • B. Kitanemuk language
    The Kitanemuk language is an extinct Uto-Aztecan language once spoken by the Kitanemuk people of Southern California.
  • C. Karen languages
    The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
  • D. Keiga language
    The Keiga language is a Kadu (Kadugli) language spoken by the Keiga people in the Nuba Mountains region of Sudan.
  • E. Khitan language
    The Khitan language was the now-extinct tongue of the Khitan people of Northeast Asia, written in unique scripts and used by the ruling elite of the Liao dynasty.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89048120c81908258f984711f7dd4 completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713e49f508190b9bad316d68eab42 completed April 21, 2026, 6:06 a.m.
NEDg Description generation batch_69e720f9a8588190aa766d2e1628207a completed April 21, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69e72315dda08190996aa84587c5fc80 completed April 21, 2026, 7:11 a.m.
Created at: April 8, 2026, 9:38 p.m.