Triple

T9051699
Position Surface form Disambiguated ID Type / Status
Subject Pearic E216898 entity
Predicate hasMember P10 FINISHED
Object Kasong
Kasong is an endangered Pearic language spoken by a small indigenous community in southeastern Thailand.
E775510 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 | Statement: [Pearic, hasMember, Kasong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasong
Context triple: [Pearic, hasMember, Kasong]
  • A. Songo
    Songo is a small town in Mozambique known primarily for its proximity to the Cahora Bassa Dam and its role in supporting the dam’s operations and nearby communities.
  • B. Kagawong
    Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Kum-song
    Kum-song is a Korean given name commonly used for both males and females.
  • 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
Triple: [Pearic, hasMember, Kasong]
Generated description
Kasong is an endangered Pearic language spoken by a small indigenous community in southeastern Thailand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kasong
Target entity description: Kasong is an endangered Pearic language spoken by a small indigenous community in southeastern Thailand.
  • A. Songo
    Songo is a small town in Mozambique known primarily for its proximity to the Cahora Bassa Dam and its role in supporting the dam’s operations and nearby communities.
  • B. Kagawong
    Kagawong is a small picturesque community on Manitoulin Island in Ontario, Canada, known for its scenic Bridal Veil Falls and lakeside charm.
  • C. Kalamansig
    Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
  • D. Kankanay
    Kankanay is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
  • E. Kum-song
    Kum-song is a Korean given name commonly used for both males and females.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a700de48190aa9f61d850e01cbd completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:10 p.m.