Triple

T7896271
Position Surface form Disambiguated ID Type / Status
Subject Virtual Execution System E183349 entity
Predicate alsoKnownAs P39 FINISHED
Object VES
VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
 E700436 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: VES | Statement: [Virtual Execution System, alsoKnownAs, VES]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VES
Context triple: [Virtual Execution System, alsoKnownAs, VES]
  • A. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. VEC
    VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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: VES
Triple: [Virtual Execution System, alsoKnownAs, VES]
Generated description
VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VES
Target entity description: VES is an abbreviation for the Virtual Execution System, a runtime environment designed to execute managed code in a platform-independent manner.
  • A. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. VS
    VS is the two-letter abbreviation commonly used for the Swiss canton of Valais.
  • D. VEC
    VEC is the vehicle registration code used on license plates for vehicles registered in the District of Vechta in Lower Saxony, Germany.
  • E. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a187a0081909a0c0822c6dab1da completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bae4bdc8190be7db2ba3acb708a completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb7632cbbc819087107c8d2172a038 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb64eee408190a66cbd0cba3054b4 completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 5:01 p.m.