Triple

T7649691
Position Surface form Disambiguated ID Type / Status
Subject Visakhapatnam Airport E173216 entity
Predicate ICAOcode P419 FINISHED
Object VEVZ
VEVZ is the ICAO airport code for Visakhapatnam Airport, a major civil and military airfield serving the city of Visakhapatnam in Andhra Pradesh, India.
E679581 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: VEVZ | Statement: [Visakhapatnam Airport, ICAOcode, VEVZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VEVZ
Context triple: [Visakhapatnam Airport, ICAOcode, VEVZ]
  • 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. ENZV
    ENZV is the ICAO airport code for Stavanger Airport, Sola, a major international airport serving the Stavanger region in southwestern Norway.
  • C. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • D.
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • E. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • 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: VEVZ
Triple: [Visakhapatnam Airport, ICAOcode, VEVZ]
Generated description
VEVZ is the ICAO airport code for Visakhapatnam Airport, a major civil and military airfield serving the city of Visakhapatnam in Andhra Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VEVZ
Target entity description: VEVZ is the ICAO airport code for Visakhapatnam Airport, a major civil and military airfield serving the city of Visakhapatnam in Andhra Pradesh, 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. ENZV
    ENZV is the ICAO airport code for Stavanger Airport, Sola, a major international airport serving the Stavanger region in southwestern Norway.
  • C. VEKU
    VEKU is the ICAO airport code assigned to Silchar Airport in Assam, India.
  • D.
    Vé is a Norse god, one of Odin’s brothers, associated with the creation of the world in Norse mythology.
  • E. VE
    VE is the two-letter ISO 3166-1 alpha-2 country code assigned to Venezuela for international standardization and identification purposes.
  • 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_69c6995473348190a4f41d110d619a18 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70174af248190af6695e127776c02 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89ae293148190a30ef03a4a594fe6 completed March 29, 2026, 3:22 a.m.
NEDg Description generation batch_69c89d2e42fc81908b1ddeb0375b47c8 completed March 29, 2026, 3:31 a.m.
NED2 Entity disambiguation (via description) batch_69c89d9255e08190b248f0c3fc858bc5 completed March 29, 2026, 3:33 a.m.
Created at: March 27, 2026, 3:58 p.m.