Triple

T6449782
Position Surface form Disambiguated ID Type / Status
Subject Melbourne Orlando International Airport E139833 entity
Predicate ICAOcode P419 FINISHED
Object KMLB
KMLB is the ICAO airport code for Melbourne Orlando International Airport, a public airport serving the Melbourne and Orlando areas in Florida, United States.
E594506 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: KMLB | Statement: [Melbourne Orlando International Airport, ICAOcode, KMLB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KMLB
Context triple: [Melbourne Orlando International Airport, ICAOcode, KMLB]
  • A. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • B. KLGB
    KLGB is the ICAO airport code for Long Beach Airport, a public airport in Long Beach, California, serving commercial, general aviation, and cargo flights in the Los Angeles area.
  • C. KTLH
    KTLH is the ICAO airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s capital city.
  • D. KTVL
    KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
  • E. KMLU
    KMLU is the ICAO airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • 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: KMLB
Triple: [Melbourne Orlando International Airport, ICAOcode, KMLB]
Generated description
KMLB is the ICAO airport code for Melbourne Orlando International Airport, a public airport serving the Melbourne and Orlando areas in Florida, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KMLB
Target entity description: KMLB is the ICAO airport code for Melbourne Orlando International Airport, a public airport serving the Melbourne and Orlando areas in Florida, United States.
  • A. KALB
    KALB is the ICAO airport code for Albany International Airport, a major commercial airport serving New York’s Capital Region.
  • B. KLGB
    KLGB is the ICAO airport code for Long Beach Airport, a public airport in Long Beach, California, serving commercial, general aviation, and cargo flights in the Los Angeles area.
  • C. KTLH
    KTLH is the ICAO airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s capital city.
  • D. KTVL
    KTVL is the ICAO airport code for Lake Tahoe Airport, a public airport serving the Lake Tahoe region in California.
  • E. KMLU
    KMLU is the ICAO airport code for Monroe Regional Airport, a public airport serving Monroe, Louisiana, in the United States.
  • 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_69c008b301948190a35854e5284dc822 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c069b2c7bc81908c683ec22cad9628 completed March 22, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bd290c481909f543cc03eee98bf completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64dce99fc819089fbe8925dc52b7a completed March 27, 2026, 9:28 a.m.
NED2 Entity disambiguation (via description) batch_69c64e5cd1b88190abcdc8af02991d1d completed March 27, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:47 p.m.