Triple

T3111645
Position Surface form Disambiguated ID Type / Status
Subject Lal Bahadur Shastri International Airport E64964 entity
Predicate IATAcode P418 FINISHED
Object VNS
VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
E327512 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: VNS | Statement: [Lal Bahadur Shastri International Airport, IATAcode, VNS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VNS
Context triple: [Lal Bahadur Shastri International Airport, IATAcode, VNS]
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • 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: VNS
Triple: [Lal Bahadur Shastri International Airport, IATAcode, VNS]
Generated description
VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VNS
Target entity description: VNS is the IATA airport code for Lal Bahadur Shastri International Airport serving Varanasi, India.
  • A. VZ
    VZ is the stock ticker symbol for Verizon Communications Inc., a major U.S.-based telecommunications company providing wireless, internet, and related services.
  • B. VVNB
    VVNB is the ICAO airport code assigned to Noi Bai International Airport, the main international gateway serving Hanoi, Vietnam.
  • C. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • D. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • E. NVP
    NVP is the official station code for Nieuw-Vennep railway station in the Netherlands.
  • 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_69ad857eeaf48190b34ebfdaa7a264cf completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43954f0819096a96331bf3c53a8 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20397cbdc8190abdd93b502f9577f completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:04 p.m.