Triple

T22849215
Position Surface form Disambiguated ID Type / Status
Subject Jingpho–Luish languages E566311 entity
Predicate hasPart P35 FINISHED
Object Ganan language
The Ganan language is a lesser-known Tibeto-Burman language spoken by the Ganan people of Myanmar, closely related to other Jingpho–Luish languages.
E1557281 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: Ganan language | Statement: [Jingpho–Luish languages, hasPart, Ganan language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ganan language
Context triple: [Jingpho–Luish languages, hasPart, Ganan language]
  • A. Ganagana language
    The Ganagana language is a Nupoid (Benue–Congo) language spoken by the Ganagana people of central Nigeria.
  • B. Ganza language
    Ganza language is a lesser-known Afroasiatic language spoken by communities in southwestern Ethiopia and neighboring regions.
  • C. Gane language
    The Gane language is an Austronesian language spoken by the Gane people in the southern part of Halmahera in eastern Indonesia.
  • D. Nganasan language
    The Nganasan language is a critically endangered Samoyedic language spoken by the Nganasan people of the Taymyr Peninsula in northern Siberia.
  • E. Ganguela language
    The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
  • 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: Ganan language
Triple: [Jingpho–Luish languages, hasPart, Ganan language]
Generated description
The Ganan language is a lesser-known Tibeto-Burman language spoken by the Ganan people of Myanmar, closely related to other Jingpho–Luish languages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ganan language
Target entity description: The Ganan language is a lesser-known Tibeto-Burman language spoken by the Ganan people of Myanmar, closely related to other Jingpho–Luish languages.
  • A. Ganagana language
    The Ganagana language is a Nupoid (Benue–Congo) language spoken by the Ganagana people of central Nigeria.
  • B. Ganza language
    Ganza language is a lesser-known Afroasiatic language spoken by communities in southwestern Ethiopia and neighboring regions.
  • C. Gane language
    The Gane language is an Austronesian language spoken by the Gane people in the southern part of Halmahera in eastern Indonesia.
  • D. Nganasan language
    The Nganasan language is a critically endangered Samoyedic language spoken by the Nganasan people of the Taymyr Peninsula in northern Siberia.
  • E. Ganguela language
    The Ganguela language is a Bantu language spoken by the Ganguela people of southwestern Africa, particularly in Angola.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e8aceb88190b137d17a7510fee4 completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7bc018c81908665d3a9928734dc completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba951d25481908cbbe34d23352f64 completed May 19, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba9c4bf048190abd9887498fa3621 completed May 19, 2026, 12:07 a.m.
Created at: April 17, 2026, 3:36 p.m.