Triple

T64976
Position Surface form Disambiguated ID Type / Status
Subject Dallas County, Texas E1292 entity
Predicate contains P35 FINISHED
Object Richardson
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
 E22124 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: Richardson | Statement: [Dallas County, Texas, contains, Richardson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Richardson
Context triple: [Dallas County, Texas, contains, Richardson]
  • A. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • D. Irving
    Irving is a surname most famously associated with Washington Irving, the early 19th-century American author of classics like "Rip Van Winkle" and "The Legend of Sleepy Hollow."
  • E. Merrifield
    Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
  • 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: Richardson
Triple: [Dallas County, Texas, contains, Richardson]
Generated description
Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Richardson
Target entity description: Richardson is a suburban city in the Dallas–Fort Worth metropolitan area known for its telecommunications industry and the University of Texas at Dallas.
  • A. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • B. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • C. Marshall
    Marshall is a common English surname borne by numerous notable figures, including military leaders, politicians, and artists.
  • D. Irving
    Irving is a surname most famously associated with Washington Irving, the early 19th-century American author of classics like "Rip Van Winkle" and "The Legend of Sleepy Hollow."
  • E. Merrifield
    Merrifield is an urbanized community in Fairfax County, Virginia, known for its mixed-use developments and proximity to Washington, D.C.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee6ba348190b00977285d74d8f5 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2eb7495ac819093ffa2a622cbd71e completed Feb. 28, 2026, 1:19 p.m.
NEDg Description generation batch_69a2ec72092c8190bcc1efa7c0644560 completed Feb. 28, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69a2ecba99cc8190a85dd5e9c531a6e3 completed Feb. 28, 2026, 1:25 p.m.
Created at: Feb. 28, 2026, 2:02 a.m.