Triple

T9551024
Position Surface form Disambiguated ID Type / Status
Subject Pearic languages E230420 entity
Predicate hasMember P10 FINISHED
Object Kasong language
The Kasong language is an endangered Pearic language spoken by a small indigenous community in eastern Thailand.
 E805417 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: Kasong language | Statement: [Pearic languages, hasMember, Kasong language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kasong language
Context triple: [Pearic languages, hasMember, Kasong language]
  • A. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • B. Wik-Mungkan language
    Wik-Mungkan is an Australian Aboriginal language spoken by the Wik-Mungkan people of Cape York Peninsula in Queensland and is one of the better-documented members of the Pama–Nyungan family.
  • C. Kisar language
    The Kisar language is an Austronesian language spoken on Kisar Island in Indonesia, belonging to the Central Malayo-Polynesian subgroup.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • 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: Kasong language
Triple: [Pearic languages, hasMember, Kasong language]
Generated description
The Kasong language is an endangered Pearic language spoken by a small indigenous community in eastern Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kasong language
Target entity description: The Kasong language is an endangered Pearic language spoken by a small indigenous community in eastern Thailand.
  • A. Kalanguya language
    The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
  • B. Wik-Mungkan language
    Wik-Mungkan is an Australian Aboriginal language spoken by the Wik-Mungkan people of Cape York Peninsula in Queensland and is one of the better-documented members of the Pama–Nyungan family.
  • C. Kisar language
    The Kisar language is an Austronesian language spoken on Kisar Island in Indonesia, belonging to the Central Malayo-Polynesian subgroup.
  • D. Kaado language
    The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
  • E. Kisukuma language
    Kisukuma is a major Bantu language spoken primarily by the Sukuma people in northwestern Tanzania.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c85b9208190acf98fa985b0f01f completed April 4, 2026, 5:38 p.m.
NEDg Description generation batch_69d14d0c39c88190a705470104dc7b80 completed April 4, 2026, 5:40 p.m.
NED2 Entity disambiguation (via description) batch_69d14d79065081908a4e619c71e0d359 completed April 4, 2026, 5:42 p.m.
Created at: March 30, 2026, 8:02 p.m.