Triple

T3481565
Position Surface form Disambiguated ID Type / Status
Subject Vadodara Airport E73501 entity
Predicate ICAOcode P419 FINISHED
Object VABO
VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
 E360820 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: VABO | Statement: [Vadodara Airport, ICAOcode, VABO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VABO
Context triple: [Vadodara Airport, ICAOcode, VABO]
  • 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. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • D. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • E. VOPB
    VOPB is the ICAO airport code for Veer Savarkar International Airport serving Port Blair in the Andaman and Nicobar Islands of 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: VABO
Triple: [Vadodara Airport, ICAOcode, VABO]
Generated description
VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VABO
Target entity description: VABO is the ICAO airport code assigned to Vadodara Airport in Gujarat, 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. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • D. Vabis
    Vabis was a Swedish automotive and engineering company that later merged to form Scania-Vabis, a predecessor of the modern Scania AB.
  • E. VOPB
    VOPB is the ICAO airport code for Veer Savarkar International Airport serving Port Blair in the Andaman and Nicobar Islands of 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb75850c8190ad02cf2bde8be8a7 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3681e88d881908a2eeb93aa56d889 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368a242448190ac61e806b42a0cf3 completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3693bc26c819093ba7f9757ba0665 completed March 13, 2026, 1:32 a.m.
Created at: March 8, 2026, 3:17 p.m.