Triple

T5362663
Position Surface form Disambiguated ID Type / Status
Subject Vistara E103057 entity
Predicate ICAOcode P419 FINISHED
Object VTI
VTI is the ICAO airline designator assigned to Vistara, a full-service Indian airline based in New Delhi.
 E514698 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: VTI | Statement: [Vistara, ICAOcode, VTI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VTI
Context triple: [Vistara, ICAOcode, VTI]
  • A. VCBI
    VCBI is the ICAO airport code for Bandaranaike International Airport, the main international gateway to Sri Lanka located near Colombo.
  • B. ETFC
    ETFC was the stock ticker symbol for E*TRADE Financial Corporation, a major U.S. online brokerage and financial services company.
  • C. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • D. VTA
    VTA is the commonly used abbreviation for Military Transport Aviation, referring to air force units and operations dedicated to transporting troops, equipment, and supplies.
  • E. VTA
    VTA is the public transit agency serving Santa Clara County, California, operating bus, light rail, and paratransit services and overseeing transportation planning in the region.
  • 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: VTI
Triple: [Vistara, ICAOcode, VTI]
Generated description
VTI is the ICAO airline designator assigned to Vistara, a full-service Indian airline based in New Delhi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VTI
Target entity description: VTI is the ICAO airline designator assigned to Vistara, a full-service Indian airline based in New Delhi.
  • A. VCBI
    VCBI is the ICAO airport code for Bandaranaike International Airport, the main international gateway to Sri Lanka located near Colombo.
  • B. ETFC
    ETFC was the stock ticker symbol for E*TRADE Financial Corporation, a major U.S. online brokerage and financial services company.
  • C. Via
    Via is a diminutive form of the given name Olivia, often used as a short, affectionate nickname.
  • D. VTA
    VTA is the commonly used abbreviation for Military Transport Aviation, referring to air force units and operations dedicated to transporting troops, equipment, and supplies.
  • E. VTA
    VTA is the public transit agency serving Santa Clara County, California, operating bus, light rail, and paratransit services and overseeing transportation planning in the region.
  • 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_69bd43daa3e4819090b59d127db70e57 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd865b9b808190a1e8c283ba28d645 completed March 20, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21ef7acc8190aa7ff990a04ff09c completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf25467ad481909a24fb4cb2953af6 completed March 21, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69bf25c28ad48190ad7f0e5cd9487a08 completed March 21, 2026, 11:12 p.m.
Created at: March 20, 2026, 2:02 p.m.