Triple

T3413879
Position Surface form Disambiguated ID Type / Status
Subject SPLASH E71961 entity
Predicate hasComponentConference P2576 FINISHED
Object DLS
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
 E355610 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: DLS | Statement: [SPLASH, hasComponentConference, DLS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DLS
Context triple: [SPLASH, hasComponentConference, DLS]
  • A. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • 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 official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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: DLS
Triple: [SPLASH, hasComponentConference, DLS]
Generated description
DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DLS
Target entity description: DLS is a conference that forms part of the SPLASH event, focusing on research and advances in dynamic languages and their applications.
  • A. DLG
    DLG is the vehicle registration code for the municipality of Blindheim in Germany.
  • 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 official vehicle registration code used on license plates for motor vehicles registered in Delhi, India.
  • D. DSC
    The Distinguished Service Cross (DSC) is a high-level military decoration awarded for extraordinary heroism in combat, primarily associated with the United States Army.
  • E. DSC
    DSC is a widely used introductory textbook on database systems that covers fundamental concepts such as data models, SQL, and database design.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb927e8d081908a5ab283da93beb2 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34be16dd48190a51f4e13a6a13a4f completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4972008190af3b84f26b4a3629 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc6c3f88190ba1a08243232df05 completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:15 p.m.