Triple

T11431647
Position Surface form Disambiguated ID Type / Status
Subject Shri Guru Gobind Singh Ji Airport E270897 entity
Predicate ICAOcode P419 FINISHED
Object VAND
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
E924974 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: VAND | Statement: [Shri Guru Gobind Singh Ji Airport, ICAOcode, VAND]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAND
Context triple: [Shri Guru Gobind Singh Ji Airport, ICAOcode, VAND]
  • A. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • D. Ven
    Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
  • E. VANP
    VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
  • 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: VAND
Triple: [Shri Guru Gobind Singh Ji Airport, ICAOcode, VAND]
Generated description
VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VAND
Target entity description: VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
  • A. VAN
    VAN is the standard abbreviation used for the Vancouver Canadians, a Minor League Baseball team based in Vancouver, British Columbia.
  • B. VEN
    VEN is the three-letter ISO 3166-1 alpha-3 country code assigned to Venezuela for international identification and data standards.
  • C. VOG
    VOG is the IATA airport code for Volgograd International Airport, a regional air transport hub serving the city of Volgograd in Russia.
  • D. Ven
    Ven is a small Swedish island in the Øresund Strait, known for its scenic landscapes, cycling paths, and historical association with astronomer Tycho Brahe.
  • E. VANP
    VANP is the ICAO airport code for Dr. Babasaheb Ambedkar International Airport in Nagpur, India.
  • 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_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d806c30d788190b0c939b33de89277 completed April 9, 2026, 8:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8e212088190b611333d5de05757 completed April 20, 2026, 5:25 a.m.
NEDg Description generation batch_69e5c28f24108190aa48ca90440d6d7f completed April 20, 2026, 6:07 a.m.
NED2 Entity disambiguation (via description) batch_69e5c474d2c88190882a55ae6621daef completed April 20, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:35 p.m.