Triple

T7980932
Position Surface form Disambiguated ID Type / Status
Subject Windows Process Activation Service E185567 entity
Predicate hasAbbreviation P43 FINISHED
Object WAS
WAS is a Windows server component that manages the activation and lifetime of web and related application processes, particularly for Internet Information Services (IIS).
 E705216 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: WAS | Statement: [Windows Process Activation Service, hasAbbreviation, WAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WAS
Context triple: [Windows Process Activation Service, hasAbbreviation, WAS]
  • A. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • B. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • D. WAS
    WAS is the standard abbreviation used for the Washington Valor, a former professional arena football team based in Washington, D.C.
  • E. WASI
    WASI is a modular system interface designed to let WebAssembly programs safely and portably interact with operating system features like files, networking, and clocks.
  • 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: WAS
Triple: [Windows Process Activation Service, hasAbbreviation, WAS]
Generated description
WAS is a Windows server component that manages the activation and lifetime of web and related application processes, particularly for Internet Information Services (IIS).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WAS
Target entity description: WAS is a Windows server component that manages the activation and lifetime of web and related application processes, particularly for Internet Information Services (IIS).
  • A. WAS
    WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
  • B. WAS
    WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
  • C. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • D. WAS
    WAS is the standard abbreviation used for the Washington Valor, a former professional arena football team based in Washington, D.C.
  • E. WASI
    WASI is a modular system interface designed to let WebAssembly programs safely and portably interact with operating system features like files, networking, and clocks.
  • 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_69cbe0dab8188190b99e1c13bec61b87 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.