Triple

T9173306
Position Surface form Disambiguated ID Type / Status
Subject Patamona language E220132 entity
Predicate alternateName P39 FINISHED
Object Kapong
Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
 E781694 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: Kapong | Statement: [Patamona language, alternateName, Kapong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kapong
Context triple: [Patamona language, alternateName, Kapong]
  • A. Kapong
    Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
  • B. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • C. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • D. Rana
    Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
  • E. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • 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: Kapong
Triple: [Patamona language, alternateName, Kapong]
Generated description
Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kapong
Target entity description: Kapong is an indigenous Cariban language spoken by the Patamona people of the Guiana Highlands in South America.
  • A. Kapong
    Kapong is a district-level administrative area located within Phang Nga Province in southern Thailand.
  • B. Pekela
    Pekela is a municipality in the province of Groningen in the northeastern Netherlands, known for its rural character and historical peat colonies.
  • C. Taroa
    Taroa is the main settlement and administrative center of Maloelap Atoll in the Marshall Islands, known historically for its World War II-era Japanese airbase.
  • D. Rana
    Rana is a large municipality in Nordland county, Norway, known for the town of Mo i Rana and its dramatic fjords, mountains, and caves just south of the Arctic Circle.
  • E. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • 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_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccbfa128d48190b54b8f95d77d81cc completed April 1, 2026, 6:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0549d81d88190bea0995ad0016437 completed April 4, 2026, midnight
NEDg Description generation batch_69d0553c2b58819086a651863f884064 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d0562e41bc8190801c75e962600df2 completed April 4, 2026, 12:07 a.m.
Created at: March 30, 2026, 7:22 p.m.