Triple

T14886477
Position Surface form Disambiguated ID Type / Status
Subject Spartanburg County E350134 entity
Predicate containsCity P294 FINISHED
Object Lyman
Lyman is a small town in South Carolina known historically for its textile mill roots and suburban residential character within the Spartanburg metropolitan area.
E1125546 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: Lyman | Statement: [Spartanburg County, containsCity, Lyman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyman
Context triple: [Spartanburg County, containsCity, Lyman]
  • A. Lyman
    Lyman is a small town located in Skagit County in the state of Washington, United States.
  • B. Lyman
    Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • C. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • D. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • E. Troutman
    Troutman is a small town in Iredell County, North Carolina, known for its residential communities and proximity to the city of Statesville.
  • 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: Lyman
Triple: [Spartanburg County, containsCity, Lyman]
Generated description
Lyman is a small town in South Carolina known historically for its textile mill roots and suburban residential character within the Spartanburg metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lyman
Target entity description: Lyman is a small town in South Carolina known historically for its textile mill roots and suburban residential character within the Spartanburg metropolitan area.
  • A. Lyman
    Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
  • B. Lyman
    Lyman is a small town located in Skagit County in the state of Washington, United States.
  • C. Qualley
    Qualley is the surname of an American family best known for actress and model Margaret Qualley and her mother, actress Andie MacDowell.
  • D. Hoyt
    Hoyt is a family surname of English origin borne by various notable individuals, including Mary Hoyt Sherman before her marriage.
  • E. Troutman
    Troutman is a small town in Iredell County, North Carolina, known for its residential communities and proximity to the city of Statesville.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5d0a208190b2490c86b15a42db completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6c7cc6a481908b1b7e15cd7640a5 completed May 8, 2026, 11:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e0950e481909c63e47bc98267bf completed May 8, 2026, 11:13 p.m.
Created at: April 10, 2026, 1:56 a.m.