Triple

T14998744
Position Surface form Disambiguated ID Type / Status
Subject Pare people E374026 entity
Predicate primaryLanguage P238 FINISHED
Object Pare language
Pare language is a Bantu language of northeastern Tanzania spoken primarily by the Pare people in the Pare Mountains region.
 E1131075 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: Pare language | Statement: [Pare people, primaryLanguage, Pare language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pare language
Context triple: [Pare people, primaryLanguage, Pare language]
  • A. Paresí language
    The Paresí language is an indigenous Arawakan language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • B. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • C. Pattaeʼ language
    The Pattaeʼ language is an Austronesian language spoken by the Pattaeʼ people of West Sulawesi, Indonesia.
  • D. Paha language
    Paha language is a lesser-known Kra language spoken by an ethnic minority community in parts of southern China.
  • E. Pame languages
    The Pame languages are a small group of closely related Oto-Manguean indigenous languages spoken by the Pame people in central Mexico.
  • 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: Pare language
Triple: [Pare people, primaryLanguage, Pare language]
Generated description
Pare language is a Bantu language of northeastern Tanzania spoken primarily by the Pare people in the Pare Mountains region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pare language
Target entity description: Pare language is a Bantu language of northeastern Tanzania spoken primarily by the Pare people in the Pare Mountains region.
  • A. Paresí language
    The Paresí language is an indigenous Arawakan language spoken by the Paresí (Haliti) people of Brazil’s Mato Grosso region.
  • B. Parji language
    The Parji language is a lesser-known Dravidian language spoken primarily by tribal communities in central India, particularly in parts of Chhattisgarh and Odisha.
  • C. Pattaeʼ language
    The Pattaeʼ language is an Austronesian language spoken by the Pattaeʼ people of West Sulawesi, Indonesia.
  • D. Paha language
    Paha language is a lesser-known Kra language spoken by an ethnic minority community in parts of southern China.
  • E. Pame languages
    The Pame languages are a small group of closely related Oto-Manguean indigenous languages spoken by the Pame people in central Mexico.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded71a5618819083ae96a79735ef98 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969c3ba88190899f06b185e94ccf completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe972728dc8190a9cf2a3e984b05a7 completed May 9, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69fe9790d1d081908fc94829d3104e07 completed May 9, 2026, 2:10 a.m.
Created at: April 10, 2026, 2:54 a.m.