Triple

T2750545
Position Surface form Disambiguated ID Type / Status
Subject Appamatuck E60974 entity
Predicate neighboringGroup P5965 FINISHED
Object Monacan
The Monacan are a Native American people historically associated with the Piedmont region of what is now Virginia.
 E294825 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: Monacan | Statement: [Appamatuck, neighboringGroup, Monacan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Monacan
Context triple: [Appamatuck, neighboringGroup, Monacan]
  • A. Dix
    Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Montgomeris
    Montgomeris is a variant form of the surname Montgomery, historically associated with Scottish and Norman lineages.
  • D. Braitling
    Braitling is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
  • E. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • 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: Monacan
Triple: [Appamatuck, neighboringGroup, Monacan]
Generated description
The Monacan are a Native American people historically associated with the Piedmont region of what is now Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Monacan
Target entity description: The Monacan are a Native American people historically associated with the Piedmont region of what is now Virginia.
  • A. Dix
    Dix is the surname of Dorothea Dix, the 19th-century American social reformer known for her pioneering work in mental health care and prison reform.
  • B. Nantz
    Nantz is the surname of Jim Nantz, a prominent American sportscaster best known for his long-running work with CBS Sports covering events like the NFL, NCAA basketball, and The Masters.
  • C. Montgomeris
    Montgomeris is a variant form of the surname Montgomery, historically associated with Scottish and Norman lineages.
  • D. Braitling
    Braitling is an electoral division in the Northern Territory of Australia that includes part of the town of Alice Springs.
  • E. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb6b6f0c8190901ab032dfb21e37 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbd86ac88190a4aba335ef9942e4 completed March 10, 2026, 6:36 a.m.
NEDg Description generation batch_69afbc8415388190a39d459ff7a411e4 completed March 10, 2026, 6:39 a.m.
NED2 Entity disambiguation (via description) batch_69afbcc460b88190986844c39165ef14 completed March 10, 2026, 6:40 a.m.
Created at: March 6, 2026, 9:56 p.m.