Triple

T11484994
Position Surface form Disambiguated ID Type / Status
Subject Workforce Investment Act of 1998 E272251 entity
Predicate shortName P43 FINISHED
Object WIA
WIA is a U.S. federal law enacted in 1998 to improve workforce development by providing job training, employment services, and support for adults, dislocated workers, and youth.
 E928686 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: [Workforce Investment Act of 1998, shortName, WIA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WIA
Context triple: [Workforce Investment Act of 1998, shortName, WIA]
  • A. 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.
  • B. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • C. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • D. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • E. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • 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: [Workforce Investment Act of 1998, shortName, WIA]
Generated description
WIA is a U.S. federal law enacted in 1998 to improve workforce development by providing job training, employment services, and support for adults, dislocated workers, and youth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WIA
Target entity description: WIA is a U.S. federal law enacted in 1998 to improve workforce development by providing job training, employment services, and support for adults, dislocated workers, and youth.
  • A. 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.
  • B. WICA
    WICA is the ICAO airport code assigned to Kertajati International Airport in West Java, Indonesia.
  • C. Wa
    Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
  • D. Wa
    Wa is an ancient Chinese exonym historically used to refer to the people and early polities of the Japanese archipelago.
  • E. WIE
    WIE is the IATA airport code for Wiesbaden Air Base, a military airfield located near Wiesbaden, Germany.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a1ea00c8190b42cdc13a6bc61c3 completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e60451a89081909f9534fee6cb809f completed April 20, 2026, 10:47 a.m.
NEDg Description generation batch_69e610a5ea0481908169c58dc0831b76 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e6182b06f88190ab36d976ac989019 completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.