Triple

T2593652
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Woodlands E58180 entity
Predicate includesPeople P17131 FINISHED
Object Weapemeoc
The Weapemeoc were an Algonquian-speaking Indigenous people who historically lived along the coastal regions of what is now northeastern North Carolina.
 E280861 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: Weapemeoc | Statement: [Southeastern Woodlands, includesPeople, Weapemeoc]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Weapemeoc
Context triple: [Southeastern Woodlands, includesPeople, Weapemeoc]
  • A. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • B. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • C. Mace
    Mace is a global construction and consultancy company known for delivering major high-profile projects, including landmark skyscrapers and complex infrastructure.
  • D. Hwaci
    Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
  • E. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • 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: Weapemeoc
Triple: [Southeastern Woodlands, includesPeople, Weapemeoc]
Generated description
The Weapemeoc were an Algonquian-speaking Indigenous people who historically lived along the coastal regions of what is now northeastern North Carolina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Weapemeoc
Target entity description: The Weapemeoc were an Algonquian-speaking Indigenous people who historically lived along the coastal regions of what is now northeastern North Carolina.
  • A. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • B. Aspis
    Aspis is an ancient Greek comedy by the playwright Menander, known for its exploration of family, inheritance, and social customs in Athenian society.
  • C. Mace
    Mace is a global construction and consultancy company known for delivering major high-profile projects, including landmark skyscrapers and complex infrastructure.
  • D. Hwaci
    Hwaci is the small American software company best known for creating and maintaining the SQLite relational database engine.
  • E. Ateso
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd83299708190993b79daaffcc9a1 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83bee4908190b5e446ddbf4e8889 completed March 10, 2026, 2:36 a.m.
NEDg Description generation batch_69af8434f61c81909bffb3f06acb733b completed March 10, 2026, 2:38 a.m.
NED2 Entity disambiguation (via description) batch_69af84b260b881909bbd3d2825f9dea7 completed March 10, 2026, 2:40 a.m.
Created at: March 6, 2026, 9:49 p.m.