Triple

T8707084
Position Surface form Disambiguated ID Type / Status
Subject IMS E206675 entity
Predicate supportsInterface P203 FINISHED
Object DL/I
DL/I (Data Language/I) is IBM's hierarchical database and data manipulation language used to access and manage data in IMS.
 E752544 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: DL/I | Statement: [IMS, supportsInterface, DL/I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DL/I
Context triple: [IMS, supportsInterface, DL/I]
  • A. DL
    DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • B. DL
    DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
  • C. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • D. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • E. DIL
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • 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: DL/I
Triple: [IMS, supportsInterface, DL/I]
Generated description
DL/I (Data Language/I) is IBM's hierarchical database and data manipulation language used to access and manage data in IMS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DL/I
Target entity description: DL/I (Data Language/I) is IBM's hierarchical database and data manipulation language used to access and manage data in IMS.
  • A. DL
    DL is the official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • B. DL
    DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
  • C. DL
    DL is the wartime squadron code used to identify No. 54 Squadron of the Royal Air Force on its aircraft.
  • D. DIL
    DIL is a German research institute specializing in food technology and innovation.
  • E. DIL
    DIL is the IATA airport code for Presidente Nicolau Lobato International Airport, the main international gateway to Dili, the capital of Timor-Leste.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fe19ac8190936ba0faf513ed2b completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf28aac77c8190b4f5968643715765 completed April 3, 2026, 2:40 a.m.
NEDg Description generation batch_69cf2bcff84881908a7985fdf8189583 completed April 3, 2026, 2:54 a.m.
NED2 Entity disambiguation (via description) batch_69cf2ca1ddac8190a36367e6bba8e3c8 completed April 3, 2026, 2:57 a.m.
Created at: March 30, 2026, 6:35 p.m.