Triple

T627405
Position Surface form Disambiguated ID Type / Status
Subject South Central United States E15848 entity
Predicate hasMajorCity P316 FINISHED
Object Rogers
Rogers is a growing city in northwestern Arkansas known for its role in the Fayetteville–Springdale–Rogers metropolitan area and as a regional commercial and retail hub.
 E78894 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: Rogers | Statement: [South Central United States, hasMajorCity, Rogers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rogers
Context triple: [South Central United States, hasMajorCity, Rogers]
  • A. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • C. Wayne
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • D. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • E. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • 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: Rogers
Triple: [South Central United States, hasMajorCity, Rogers]
Generated description
Rogers is a growing city in northwestern Arkansas known for its role in the Fayetteville–Springdale–Rogers metropolitan area and as a regional commercial and retail hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rogers
Target entity description: Rogers is a growing city in northwestern Arkansas known for its role in the Fayetteville–Springdale–Rogers metropolitan area and as a regional commercial and retail hub.
  • A. Rogers
    Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
  • B. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • C. Wayne
    Wayne is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
  • D. Rolen
    Rolen is a surname most notably associated with Scott Rolen, a Hall of Fame Major League Baseball third baseman.
  • E. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e59e2688190b3c18b17c5db1e2b completed March 1, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a56935ec748190984b9cb6add6b700 completed March 2, 2026, 10:40 a.m.
NEDg Description generation batch_69a569d5f2a081908f63ce6755b2994c completed March 2, 2026, 10:43 a.m.
NED2 Entity disambiguation (via description) batch_69a56b2283dc8190b252595b5bb394f3 completed March 2, 2026, 10:49 a.m.
Created at: March 1, 2026, 7:35 p.m.