Triple

T21989522
Position Surface form Disambiguated ID Type / Status
Subject W3C Web Services Architecture E543046 entity
Predicate shortName P43 FINISHED
Object WSA
WSA is the W3C’s Web Services Architecture specification that defines a conceptual model and guidelines for designing interoperable web services.
 E1512280 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: WSA | Statement: [W3C Web Services Architecture, shortName, WSA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSA
Context triple: [W3C Web Services Architecture, shortName, WSA]
  • 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 abbreviation used for the Washington Valor, a former professional arena football team based in Washington, D.C.
  • D. 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).
  • E. WAS
    WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
  • 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: WSA
Triple: [W3C Web Services Architecture, shortName, WSA]
Generated description
WSA is the W3C’s Web Services Architecture specification that defines a conceptual model and guidelines for designing interoperable web services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSA
Target entity description: WSA is the W3C’s Web Services Architecture specification that defines a conceptual model and guidelines for designing interoperable web services.
  • 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. 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).
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270cb67c81909a3aa2dc61c1894f completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d81c92481909a58757f929f904c completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e18d4f48190bfb917c9c9109ea5 completed May 18, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ee56684819082d2001b2e817ed8 completed May 18, 2026, 1:44 a.m.
Created at: April 16, 2026, 8:05 p.m.