Triple

T8152035
Position Surface form Disambiguated ID Type / Status
Subject xVelocity in-memory analytics engine E190354 entity
Predicate marketedAs P1395 FINISHED
Object xVelocity
xVelocity is a high-performance, in-memory columnar analytics engine developed by Microsoft to accelerate data processing and business intelligence workloads.
E717519 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: xVelocity | Statement: [xVelocity in-memory analytics engine, marketedAs, xVelocity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: xVelocity
Context triple: [xVelocity in-memory analytics engine, marketedAs, xVelocity]
  • A. VELOCITY
    VELOCITY is the radio callsign used by Virgin Australia for its airline operations.
  • B. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • C. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • D. vel
    Vel is the divine spear associated with the Hindu god Murugan, symbolizing his power to destroy evil and protect devotees.
  • E. Vitesse
    Vitesse is a professional Dutch football club based in Arnhem that competes in the country's top leagues and European competitions.
  • 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: xVelocity
Triple: [xVelocity in-memory analytics engine, marketedAs, xVelocity]
Generated description
xVelocity is a high-performance, in-memory columnar analytics engine developed by Microsoft to accelerate data processing and business intelligence workloads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: xVelocity
Target entity description: xVelocity is a high-performance, in-memory columnar analytics engine developed by Microsoft to accelerate data processing and business intelligence workloads.
  • A. VELOCITY
    VELOCITY is the radio callsign used by Virgin Australia for its airline operations.
  • B. VXP
    VXP is the ICAO airline designator assigned to Avelo Airlines, a U.S.-based low-cost carrier.
  • C. XVQ
    XVQ is the IATA station code assigned to Venezia Santa Lucia, the main railway station in Venice, Italy.
  • D. vel
    Vel is the divine spear associated with the Hindu god Murugan, symbolizing his power to destroy evil and protect devotees.
  • E. Vitesse
    Vitesse is a professional Dutch football club based in Arnhem that competes in the country's top leagues and European competitions.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbef9f28881909961b599d395d6df completed April 1, 2026, 6:45 a.m.
NEDg Description generation batch_69ccc310b514819099228a1cc66517c5 completed April 1, 2026, 7:02 a.m.
NED2 Entity disambiguation (via description) batch_69ccd8041c00819094094701ace21aa0 completed April 1, 2026, 8:32 a.m.
Created at: March 30, 2026, 5:37 p.m.