Triple

T22769842
Position Surface form Disambiguated ID Type / Status
Subject Interlisp E563523 entity
Predicate component P35 FINISHED
Object DWIM NE NERFINISHED

How this triple was built (3 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: DWIM | Statement: [Interlisp, component, DWIM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DWIM
Context triple: [Interlisp, component, DWIM]
  • A. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • B. DW
    DW is the commonly used abbreviation for Daniel Wellington, a Swedish watch and accessories brand known for its minimalist, classic designs.
  • C. DW
    DW is the vehicle registration code used on license plates for the Sächsische Schweiz-Osterzgebirge district in the German state of Saxony.
  • D. WYM
    WYM is the National Rail station code for Wylam railway station in Northumberland, England.
  • E. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DWIM
Target entity description: DWIM (Do What I Mean) is an error-correcting and command-guessing feature in the Interlisp programming environment designed to interpret and automatically fix users’ likely mistakes.
  • A. DW
    DW is the abbreviation for Deutsche Werft AG, a former German shipbuilding company based in Hamburg.
  • B. DW
    DW is the commonly used abbreviation for Daniel Wellington, a Swedish watch and accessories brand known for its minimalist, classic designs.
  • C. DW
    DW is the vehicle registration code used on license plates for the Sächsische Schweiz-Osterzgebirge district in the German state of Saxony.
  • D. WYM
    WYM is the National Rail station code for Wylam railway station in Northumberland, England.
  • E. DWM
    DWM is the Windows system component responsible for rendering and managing the visual effects and composition of the desktop user interface.
  • F. None of above. chosen

Provenance (2 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_69e24554497c819080b996e071de27c2 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17b5cea44819097290351da9c488d completed April 29, 2026, 3:30 a.m.
Created at: April 17, 2026, 3:27 p.m.