Triple

T13210656
Position Surface form Disambiguated ID Type / Status
Subject Old Delhi Railway Station E314480 entity
Predicate stationCode P1289 FINISHED
Object DLI
DLI is the station code for Old Delhi Railway Station, a major and historic rail hub in Delhi, India.
 E1026627 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: DLI | Statement: [Old Delhi Railway Station, stationCode, DLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLI
Context triple: [Old Delhi Railway Station, stationCode, DLI]
  • A. DL/I
    DL/I (Data Language/I) is IBM's hierarchical database and data manipulation language used to access and manage data in IMS.
  • B. 8 DLI
    8 DLI is the commonly used shorthand for the 8th Battalion of the Durham Light Infantry, a British Army infantry unit that served notably during the World Wars.
  • C. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • D. DIL
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • E. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • 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: DLI
Triple: [Old Delhi Railway Station, stationCode, DLI]
Generated description
DLI is the station code for Old Delhi Railway Station, a major and historic rail hub in Delhi, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLI
Target entity description: DLI is the station code for Old Delhi Railway Station, a major and historic rail hub in Delhi, India.
  • A. DL/I
    DL/I (Data Language/I) is IBM's hierarchical database and data manipulation language used to access and manage data in IMS.
  • B. 8 DLI
    8 DLI is the commonly used shorthand for the 8th Battalion of the Durham Light Infantry, a British Army infantry unit that served notably during the World Wars.
  • C. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • D. DIL
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • E. DLS
    DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • 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_69d806aee7308190b70a237ba2a6e3e1 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c9e072c8190b66e2c2430628ed0 completed April 10, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f6136270819093256a143d2c9e65 completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f72f9dcc8190aa07315891b393aa completed May 3, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_69f6f812ae048190907b8def6b0d019c completed May 3, 2026, 7:24 a.m.
Created at: April 9, 2026, 9:17 p.m.