Triple

T3838463
Position Surface form Disambiguated ID Type / Status
Subject Vermont Agency of Transportation E93392 entity
Predicate abbreviation P43 FINISHED
Object VTrans
VTrans is the state government agency responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation.
E393792 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: VTrans | Statement: [Vermont Agency of Transportation, abbreviation, VTrans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VTrans
Context triple: [Vermont Agency of Transportation, abbreviation, VTrans]
  • A. Transtu
    Transtu is the public transport authority in Tunis responsible for operating the city’s metro and other urban transit services.
  • B. VCVT
    VCVT is the ICAO airport code assigned to Trincomalee Airport in Sri Lanka.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. Marq-Tran
    Marq-Tran is the public bus transit system serving Marquette and the surrounding area in Michigan’s Upper Peninsula.
  • E. Para Transpo
    Para Transpo is Ottawa’s specialized door-to-door public transit service providing accessible transportation for people with disabilities who cannot use conventional buses.
  • 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: VTrans
Triple: [Vermont Agency of Transportation, abbreviation, VTrans]
Generated description
VTrans is the state government agency responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VTrans
Target entity description: VTrans is the state government agency responsible for planning, building, and maintaining Vermont’s transportation infrastructure, including highways, bridges, public transit, rail, and aviation.
  • A. Transtu
    Transtu is the public transport authority in Tunis responsible for operating the city’s metro and other urban transit services.
  • B. VCVT
    VCVT is the ICAO airport code assigned to Trincomalee Airport in Sri Lanka.
  • C. TRN
    TRN is the IATA airport code for Turin Airport, the main international airport serving Turin in northern Italy.
  • D. Marq-Tran
    Marq-Tran is the public bus transit system serving Marquette and the surrounding area in Michigan’s Upper Peninsula.
  • E. Para Transpo
    Para Transpo is Ottawa’s specialized door-to-door public transit service providing accessible transportation for people with disabilities who cannot use conventional buses.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeb9d11f081909fc51e84657ec7f1 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5040835dc81909ecf5053128f1cc7 completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b507cfee048190a41ad30f4ceaf6c8 completed March 14, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b50857e9ec8190bb03f13c4573b779 completed March 14, 2026, 7:03 a.m.
Created at: March 9, 2026, 3:18 p.m.