Triple

T19950837
Position Surface form Disambiguated ID Type / Status
Subject Dent railway station E479548 entity
Predicate stationCode P1289 FINISHED
Object DNT
DNT is the National Rail station code for Dent railway station, a rural stop on the Settle–Carlisle line in Cumbria, England.
 E1402840 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: [Dent railway station, stationCode, DNT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DNT
Context triple: [Dent railway station, stationCode, DNT]
  • A. 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.
  • B. DHT
    DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
  • 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. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • E. DN
    DN is the vehicle registration code used on license plates for the district of Düren in the German state of North Rhine-Westphalia.
  • 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: [Dent railway station, stationCode, DNT]
Generated description
DNT is the National Rail station code for Dent railway station, a rural stop on the Settle–Carlisle line in Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DNT
Target entity description: DNT is the National Rail station code for Dent railway station, a rural stop on the Settle–Carlisle line in Cumbria, England.
  • A. 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.
  • B. DHT
    DHT is the abbreviation for the Dick Howser Trophy, an annual award recognizing the top college baseball player in the United States.
  • 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. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • E. DN
    DN is the vehicle registration code used on license plates for the district of Düren in the German state of North Rhine-Westphalia.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6b694c819080daea9422bcdd38 completed April 20, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07f6f4cc5881908c2cfea5fdfa1357 completed May 16, 2026, 4:47 a.m.
NEDg Description generation batch_6a07f83250fc8190bdcf86f1981e47f6 completed May 16, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_6a07f8c025488190bdc06977f07e6ddc completed May 16, 2026, 4:55 a.m.
Created at: April 10, 2026, 1:54 p.m.