Triple

T7980583
Position Surface form Disambiguated ID Type / Status
Subject Windows Image Acquisition E185559 entity
Predicate abbreviation P43 FINISHED
Object WIA
WIA is a Microsoft Windows service and API that enables communication between the operating system and imaging hardware such as scanners and digital cameras.
 E705209 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: WIA | Statement: [Windows Image Acquisition, abbreviation, WIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIA
Context triple: [Windows Image Acquisition, abbreviation, WIA]
  • A. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • B. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • C. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • 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: WIA
Triple: [Windows Image Acquisition, abbreviation, WIA]
Generated description
WIA is a Microsoft Windows service and API that enables communication between the operating system and imaging hardware such as scanners and digital cameras.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIA
Target entity description: WIA is a Microsoft Windows service and API that enables communication between the operating system and imaging hardware such as scanners and digital cameras.
  • A. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • B. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • C. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • D. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • E. WARR
    WARR is the ICAO airport code for Juanda International Airport, a major airport serving Surabaya in East Java, Indonesia.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c274ce48190854d389d43ce14b8 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0d3c724819087df03cea2ed998f completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cc46c221848190848c7e017e532a16 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc480d2f40819085046a1d0c9d05e0 completed March 31, 2026, 10:17 p.m.
Created at: March 30, 2026, 5:15 p.m.