Triple

T6194305
Position Surface form Disambiguated ID Type / Status
Subject Dallas North Tollway E138471 entity
Predicate abbreviation P43 FINISHED
Object DNT
DNT is a major controlled-access toll road running through the Dallas–Fort Worth metropolitan area in Texas, connecting downtown Dallas with its northern suburbs.
 E576269 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: DNT | Statement: [Dallas North Tollway, abbreviation, DNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNT
Context triple: [Dallas North Tollway, abbreviation, DNT]
  • A. DHT
    DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
  • B. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. DMP
    DMP is the Division of Materials Physics, a specialized unit of the American Physical Society focused on research and advancement in materials physics.
  • E. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • 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: DNT
Triple: [Dallas North Tollway, abbreviation, DNT]
Generated description
DNT is a major controlled-access toll road running through the Dallas–Fort Worth metropolitan area in Texas, connecting downtown Dallas with its northern suburbs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNT
Target entity description: DNT is a major controlled-access toll road running through the Dallas–Fort Worth metropolitan area in Texas, connecting downtown Dallas with its northern suburbs.
  • A. DHT
    DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
  • B. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • C. DN
    DN is the official vehicle registration code used for the Indian union territory of Dadra and Nagar Haveli and Daman and Diu.
  • D. DMP
    DMP is the Division of Materials Physics, a specialized unit of the American Physical Society focused on research and advancement in materials physics.
  • E. DUT
    DUT is a public university of technology located in Durban, South Africa, offering a range of career-focused and applied science programs.
  • 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_69c008ab9b3081908a11b2c744838435 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062443cec81909dc9bafea2f5e7d4 completed March 22, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16f1c162081909cf34e827f1bd7d7 completed March 23, 2026, 4:49 p.m.
NEDg Description generation batch_69c1be41b0c881909aff05430b23dc71 completed March 23, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_69c1bf50f6b881909e23e95d6ff0fd4d completed March 23, 2026, 10:31 p.m.
Created at: March 22, 2026, 4:19 p.m.