Triple

T9673283
Position Surface form Disambiguated ID Type / Status
Subject Dalton-in-Furness railway station E234082 entity
Predicate stationCode P1289 FINISHED
Object DLT
DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
 E813975 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: DLT | Statement: [Dalton-in-Furness railway station, stationCode, DLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLT
Context triple: [Dalton-in-Furness railway station, stationCode, DLT]
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DL-1
    DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
  • C. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • D. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • E. BLDTF
    BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
  • 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: DLT
Triple: [Dalton-in-Furness railway station, stationCode, DLT]
Generated description
DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLT
Target entity description: DLT is the National Rail station code for Dalton-in-Furness railway station in Cumbria, England.
  • A. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • B. DL-1
    DL-1 is the vehicle registration code assigned to motor vehicles registered in the North Delhi district of India’s National Capital Territory.
  • C. DTL
    DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
  • D. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • E. BLDTF
    BLDTF is a U.S. federal trust fund that pays disability benefits and related expenses to coal miners (and their survivors) who are totally disabled by pneumoconiosis, commonly known as black lung disease.
  • 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18bf051448190aaa3a7198c23fd39 completed April 4, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69d18c8783f08190858681b51096fe56 completed April 4, 2026, 10:11 p.m.
Created at: March 30, 2026, 8:15 p.m.