Triple

T4651486
Position Surface form Disambiguated ID Type / Status
Subject Virginia Tech E102303 entity
Predicate abbreviation P43 FINISHED
Object VT
VT is the commonly used abbreviation for Virginia Tech, a major public research university in Blacksburg, Virginia.
 E457886 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: VT | Statement: [Virginia Tech, abbreviation, VT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VT
Context triple: [Virginia Tech, abbreviation, VT]
  • A. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • B. VT
    VT is the vehicle registration code used on license plates for vehicles registered in the Province of Viterbo in Italy.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • E. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • 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: VT
Triple: [Virginia Tech, abbreviation, VT]
Generated description
VT is the commonly used abbreviation for Virginia Tech, a major public research university in Blacksburg, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VT
Target entity description: VT is the commonly used abbreviation for Virginia Tech, a major public research university in Blacksburg, Virginia.
  • A. VT
    VT is the standard two-letter postal abbreviation used to represent the U.S. state of Vermont.
  • B. VT
    VT is the vehicle registration code used on license plates for vehicles registered in the Province of Viterbo in Italy.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • E. V
    V is the stock ticker symbol for Visa Inc., a leading global payments technology company.
  • 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfbc12acc8190b8116a6003abb3e3 completed March 21, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69bdfc44536c8190a71e52b0690a7570 completed March 21, 2026, 2:02 a.m.
Created at: March 20, 2026, 1:14 p.m.