Triple

T7936981
Position Surface form Disambiguated ID Type / Status
Subject Model Driven Architecture E184309 entity
Predicate usesConcept P531 FINISHED
Object QVT
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
 E699665 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: QVT | Statement: [Model Driven Architecture, usesConcept, QVT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: QVT
Context triple: [Model Driven Architecture, usesConcept, QVT]
  • A. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • B. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • C. VQS
    VQS is the IATA airport code for Antonio Rivera Rodríguez Airport, which serves the island of Vieques in Puerto Rico.
  • D. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • E. QH
    QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
  • 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: QVT
Triple: [Model Driven Architecture, usesConcept, QVT]
Generated description
QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: QVT
Target entity description: QVT (Query/View/Transformation) is an OMG standard language for specifying model-to-model transformations in model-driven software engineering.
  • A. QTA
    QTA is the official railway station code for Quetta Railway Station in Pakistan’s railway network.
  • B. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • C. VQS
    VQS is the IATA airport code for Antonio Rivera Rodríguez Airport, which serves the island of Vieques in Puerto Rico.
  • D. TJVQ
    TJVQ is the ICAO airport code for Antonio Rivera Rodríguez Airport, a public airport serving the island of Vieques in Puerto Rico.
  • E. QH
    QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aef2394819086eea1f6ab117aed completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.