Triple

T6653071
Position Surface form Disambiguated ID Type / Status
Subject Baramati Airport E150868 entity
Predicate hasIcaoCode P419 FINISHED
Object VABT
VABT is the ICAO airport code assigned to Baramati Airport in Maharashtra, India.
 E609657 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: VABT | Statement: [Baramati Airport, hasIcaoCode, VABT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VABT
Context triple: [Baramati Airport, hasIcaoCode, VABT]
  • A. 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.
  • B. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • 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. VABO
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • E. BKV
    BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
  • 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: VABT
Triple: [Baramati Airport, hasIcaoCode, VABT]
Generated description
VABT is the ICAO airport code assigned to Baramati Airport in Maharashtra, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VABT
Target entity description: VABT is the ICAO airport code assigned to Baramati Airport in Maharashtra, India.
  • A. 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.
  • B. VABB
    VABB is the ICAO airport code for Chhatrapati Shivaji Maharaj International Airport, the primary international airport serving Mumbai, India.
  • 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. VABO
    VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
  • E. BKV
    BKV is the main public transportation company of Budapest, Hungary, responsible for operating the city’s metro, trams, buses, and trolleybuses.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b046c1408190af288575e40936d0 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6eefd800c8190806cf3dff204ca01 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a1149c8190af55a613eada84b6 completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f17ccd7c8190918e03b114f4f064 completed March 27, 2026, 9:07 p.m.
Created at: March 27, 2026, 2:01 p.m.