Triple

T22691802
Position Surface form Disambiguated ID Type / Status
Subject Vector Group E561069 entity
Predicate tickerSymbol P1447 FINISHED
Object VGR
VGR is the stock ticker symbol for Vector Group Ltd., a diversified holding company primarily involved in tobacco and real estate businesses.
E1550421 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: VGR | Statement: [Vector Group, tickerSymbol, VGR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VGR
Context triple: [Vector Group, tickerSymbol, VGR]
  • A. VGRJ
    VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • E. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • 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: VGR
Triple: [Vector Group, tickerSymbol, VGR]
Generated description
VGR is the stock ticker symbol for Vector Group Ltd., a diversified holding company primarily involved in tobacco and real estate businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VGR
Target entity description: VGR is the stock ticker symbol for Vector Group Ltd., a diversified holding company primarily involved in tobacco and real estate businesses.
  • A. VGRJ
    VGRJ is the ICAO airport code for Shah Makhdum Airport, a regional airport serving Rajshahi in Bangladesh.
  • B. VGT
    VGT is the IATA airport code for North Las Vegas Airport, a general aviation facility serving the Las Vegas area in Nevada, USA.
  • C. VG
    VG is the two-letter ISO 3166 country code assigned to the British Virgin Islands.
  • D. VG
    VG is a major Norwegian newspaper and online news outlet known for its wide national readership and influential coverage of current affairs.
  • E. VG
    VG is the vehicle registration code used on license plates for the district of Vorpommern-Greifswald in the German state of Mecklenburg-Vorpommern.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789adcc48190b4a717166d5dba19 completed April 29, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b7eccc1408190a9d2473700154bd3 completed May 18, 2026, 9:04 p.m.
NEDg Description generation batch_6a0b7fd717b88190875264662193a43a completed May 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0b807b4f748190bf4172469502c150 completed May 18, 2026, 9:11 p.m.
Created at: April 17, 2026, 3:13 p.m.