Triple

T18266394
Position Surface form Disambiguated ID Type / Status
Subject AutoLISP E437494 entity
Predicate runsInside P23495 FINISHED
Object ZWCAD
ZWCAD is a professional CAD software platform compatible with AutoCAD that supports 2D drafting and 3D modeling for architects, engineers, and designers.
 E1315969 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: ZWCAD | Statement: [AutoLISP, runsInside, ZWCAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZWCAD
Context triple: [AutoLISP, runsInside, ZWCAD]
  • A. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • B. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • C. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • D. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • E. ZCW
    ZCW is the National Rail station code assigned to Canada Water station in London.
  • 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: ZWCAD
Triple: [AutoLISP, runsInside, ZWCAD]
Generated description
ZWCAD is a professional CAD software platform compatible with AutoCAD that supports 2D drafting and 3D modeling for architects, engineers, and designers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZWCAD
Target entity description: ZWCAD is a professional CAD software platform compatible with AutoCAD that supports 2D drafting and 3D modeling for architects, engineers, and designers.
  • A. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • B. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • C. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • D. ZCW
    ZCW is the three-letter station code used to identify Canary Wharf tube station on the London Underground network.
  • E. ZCW
    ZCW is the National Rail station code assigned to Canada Water station in London.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7af85c81909859e7247738a535 completed April 19, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03b3f6c1b081908fdd0ccb6f1bf633 completed May 12, 2026, 11:12 p.m.
NEDg Description generation batch_6a03b4f0cd188190a9577a3999a5b473 completed May 12, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a03b5c09f4881909fb0ead5fc48895c completed May 12, 2026, 11:20 p.m.
Created at: April 10, 2026, 10:34 a.m.