Triple

T2769408
Position Surface form Disambiguated ID Type / Status
Subject IEEE 802.1Qbg E61416 entity
Predicate definesConcept P773 FINISHED
Object VEPA
VEPA (Virtual Ethernet Port Aggregator) is a networking mechanism that forwards virtual machine traffic to an external switch for centralized policy enforcement and management.
 E297861 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: VEPA | Statement: [IEEE 802.1Qbg, definesConcept, VEPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VEPA
Context triple: [IEEE 802.1Qbg, definesConcept, VEPA]
  • A. VEVRAA
    VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
  • B. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • C. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • D. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • E. Vé
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • 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: VEPA
Triple: [IEEE 802.1Qbg, definesConcept, VEPA]
Generated description
VEPA (Virtual Ethernet Port Aggregator) is a networking mechanism that forwards virtual machine traffic to an external switch for centralized policy enforcement and management.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VEPA
Target entity description: VEPA (Virtual Ethernet Port Aggregator) is a networking mechanism that forwards virtual machine traffic to an external switch for centralized policy enforcement and management.
  • A. VEVRAA
    VEVRAA is a U.S. federal law that requires certain federal contractors and subcontractors to take affirmative action to employ and advance qualified protected veterans.
  • B. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • C. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • D. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • E. Vé
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd6785d88190b99f99889463a962 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04dc7808190bb8425ed87cf74c0 completed March 10, 2026, 6:55 a.m.
NEDg Description generation batch_69afc11fa5ec8190a0b495f6b71591ab completed March 10, 2026, 6:58 a.m.
NED2 Entity disambiguation (via description) batch_69afc1f734dc8190a4861b05583f7018 completed March 10, 2026, 7:02 a.m.
Created at: March 6, 2026, 9:57 p.m.