Triple

T165951
Position Surface form Disambiguated ID Type / Status
Subject Wi‑Fi Alliance E3015 entity
Predicate shortName P43 FINISHED
Object WECA
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
 E20657 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: WECA | Statement: [Wi‑Fi Alliance, shortName, WECA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WECA
Context triple: [Wi‑Fi Alliance, shortName, WECA]
  • A. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • B. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • C. WHA
    WHA is the commonly used abbreviation for the World Health Assembly, the decision-making body of the World Health Organization.
  • D. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • E. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • 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: WECA
Triple: [Wi‑Fi Alliance, shortName, WECA]
Generated description
WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WECA
Target entity description: WECA is the former name of the Wi‑Fi Alliance, the global industry consortium that develops and certifies Wi‑Fi standards and interoperability.
  • A. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • B. ECA
    ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
  • C. WHA
    WHA is the commonly used abbreviation for the World Health Assembly, the decision-making body of the World Health Organization.
  • D. W3
    W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
  • E. WY
    WY is the New York Stock Exchange ticker symbol for Weyerhaeuser Company, one of the world’s largest private owners of timberlands and a major forest products company.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a25883ac8481909616b2179561bd98 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2db55b2808190bb120e6f266bd26b completed Feb. 28, 2026, 12:11 p.m.
NEDg Description generation batch_69a2dbc9285081908ce873c8ec56c36f completed Feb. 28, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_69a2e05353808190a0392ea04cecdb43 completed Feb. 28, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 2:34 a.m.