Triple

T7911878
Position Surface form Disambiguated ID Type / Status
Subject Madurai International Airport E183718 entity
Predicate ICAOcode P419 FINISHED
Object VOMD
VOMD is the ICAO airport code for Madurai International Airport, a major air gateway serving the city of Madurai in the Indian state of Tamil Nadu.
 E696728 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: VOMD | Statement: [Madurai International Airport, ICAOcode, VOMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VOMD
Context triple: [Madurai International Airport, ICAOcode, VOMD]
  • A. VOMM
    VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
  • B. Vomag
    Vomag was a German vehicle manufacturer best known for producing military trucks and armored vehicles, including variants of the Panzer IV, during the World War II era.
  • 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. VD
    VD is the vehicle registration code for the Swiss canton of Vaud.
  • E. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • 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: VOMD
Triple: [Madurai International Airport, ICAOcode, VOMD]
Generated description
VOMD is the ICAO airport code for Madurai International Airport, a major air gateway serving the city of Madurai in the Indian state of Tamil Nadu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VOMD
Target entity description: VOMD is the ICAO airport code for Madurai International Airport, a major air gateway serving the city of Madurai in the Indian state of Tamil Nadu.
  • A. VOMM
    VOMM is the ICAO airport code for Chennai International Airport, a major aviation hub in southern India.
  • B. Vomag
    Vomag was a German vehicle manufacturer best known for producing military trucks and armored vehicles, including variants of the Panzer IV, during the World War II era.
  • 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. VD
    VD is the vehicle registration code for the Swiss canton of Vaud.
  • E. VDV
    VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
  • 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a725b8c8190a530adb3107a95dd completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76aede388190a56e066c3302c35e completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.