Triple

T22304559
Position Surface form Disambiguated ID Type / Status
Subject Kolhapur Airport E551340 entity
Predicate ICAOcode P419 FINISHED
Object VAKP
VAKP is the ICAO airport code assigned to Kolhapur Airport in Maharashtra, India.
E1530409 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: VAKP | Statement: [Kolhapur Airport, ICAOcode, VAKP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VAKP
Context triple: [Kolhapur Airport, ICAOcode, VAKP]
  • A. VPK
    VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
  • B. KAVP
    KAVP is the ICAO airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, United States.
  • C. VABP
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • D. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • E. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, 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: VAKP
Triple: [Kolhapur Airport, ICAOcode, VAKP]
Generated description
VAKP is the ICAO airport code assigned to Kolhapur Airport in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: VAKP
Target entity description: VAKP is the ICAO airport code assigned to Kolhapur Airport in Maharashtra, India.
  • A. VPK
    VPK was the Soviet Union’s powerful Military-Industrial Commission responsible for overseeing and coordinating the country’s defense industry and weapons production.
  • B. KAVP
    KAVP is the ICAO airport code for Wilkes-Barre/Scranton International Airport in Pennsylvania, United States.
  • C. VABP
    VABP is the ICAO airport code for Raja Bhoj Airport, the primary airport serving Bhopal in the Indian state of Madhya Pradesh.
  • D. VAB
    VAB is the commonly used abbreviation for NASA’s Vehicle Assembly Building, the massive structure at Kennedy Space Center where rockets are assembled before launch.
  • E. VSKP
    VSKP is the station code for Visakhapatnam railway station, a major rail hub in the coastal city of Visakhapatnam, 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15726b7e48190b7636db01dbb8a40 completed April 29, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0acc9f16608190b6d1118238f96584 completed May 18, 2026, 8:23 a.m.
NEDg Description generation batch_6a0acec65ef48190a9961d2c03361258 completed May 18, 2026, 8:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0acf8273388190ba99a4d5900a7cce completed May 18, 2026, 8:36 a.m.
Created at: April 16, 2026, 8:41 p.m.