Triple

T3085033
Position Surface form Disambiguated ID Type / Status
Subject Noida International Airport E64350 entity
Predicate ICAOCode P419 FINISHED
Object VIDN
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
 E324714 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: VIDN | Statement: [Noida International Airport, ICAOCode, VIDN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VIDN
Context triple: [Noida International Airport, ICAOCode, VIDN]
  • A. Vdio
    Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
  • B. VIDP
    VIDP is the ICAO airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
  • C. DV
    DV is the standard abbreviation for *Dei Verbum*, the Second Vatican Council’s Dogmatic Constitution on Divine Revelation.
  • D. DV
    DV is the stock ticker symbol for DeVry Inc., a for-profit higher education company traded on public markets.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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: VIDN
Triple: [Noida International Airport, ICAOCode, VIDN]
Generated description
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VIDN
Target entity description: VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
  • A. Vdio
    Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
  • B. VIDP
    VIDP is the ICAO airport code for Indira Gandhi International Airport, the primary international aviation hub serving New Delhi, India.
  • C. DV
    DV is the standard abbreviation for *Dei Verbum*, the Second Vatican Council’s Dogmatic Constitution on Divine Revelation.
  • D. DV
    DV is the stock ticker symbol for DeVry Inc., a for-profit higher education company traded on public markets.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f89e6f5c8190993794e2c9977ee6 completed March 11, 2026, 11:19 p.m.
NEDg Description generation batch_69b1f93d5b208190835093f453fd33ab completed March 11, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69b1f9ea9b908190a86e2b79a89e0283 completed March 11, 2026, 11:25 p.m.
Created at: March 8, 2026, 3:03 p.m.