Triple

T14073505
Position Surface form Disambiguated ID Type / Status
Subject Dehradun railway station E338671 entity
Predicate stationCode P1289 FINISHED
Object DDN
DDN is the Indian Railways station code for Dehradun railway station, a major rail terminus in the capital city of Uttarakhand.
 E1077474 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: DDN | Statement: [Dehradun railway station, stationCode, DDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DDN
Context triple: [Dehradun railway station, stationCode, DDN]
  • A. DDN
    DDN is the station code for Dresden-Neustadt, a major railway station in Dresden, Germany.
  • B. DDDN
    DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
  • C. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • D. DD News
    DD News is an Indian 24-hour television news channel operated by the public service broadcaster Doordarshan, providing national and international news coverage.
  • E. DDM
    DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
  • 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: DDN
Triple: [Dehradun railway station, stationCode, DDN]
Generated description
DDN is the Indian Railways station code for Dehradun railway station, a major rail terminus in the capital city of Uttarakhand.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DDN
Target entity description: DDN is the Indian Railways station code for Dehradun railway station, a major rail terminus in the capital city of Uttarakhand.
  • A. DDN
    DDN is the station code for Dresden-Neustadt, a major railway station in Dresden, Germany.
  • B. DDDN
    DDDN is a medical division specializing in the research, diagnosis, and treatment of digestive system and nutritional disorders.
  • C. DDF
    DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
  • D. DD News
    DD News is an Indian 24-hour television news channel operated by the public service broadcaster Doordarshan, providing national and international news coverage.
  • E. DDM
    DDM was the ISO 4217 currency code for the East German mark, the official currency of the former German Democratic Republic.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5bc49881909012b66fa451f495 completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66eeb248190b73e992ab6b9af82 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc37502048190b24438c0fb161fdf completed May 7, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_69fcc3db83ac819083b728d039b8d345 completed May 7, 2026, 4:54 p.m.
Created at: April 9, 2026, 10:21 p.m.