Triple

T5616401
Position Surface form Disambiguated ID Type / Status
Subject Lakeland Linder International Airport E147487 entity
Predicate ICAOcode P419 FINISHED
Object KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
 E537098 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: KLAL | Statement: [Lakeland Linder International Airport, ICAOcode, KLAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KLAL
Context triple: [Lakeland Linder International Airport, ICAOcode, KLAL]
  • A. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • B. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • E. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • 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: KLAL
Triple: [Lakeland Linder International Airport, ICAOcode, KLAL]
Generated description
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KLAL
Target entity description: KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
  • A. KL
    KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
  • B. KL
    KL is the official vehicle registration code assigned to the Indian state of Kerala.
  • C. KL
    KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
  • D. KKL
    KKL is the Hebrew acronym for Keren Kayemeth LeIsrael, the Jewish National Fund organization known for land development, afforestation, and environmental projects in Israel.
  • E. KLAC
    KLAC is a Los Angeles-based sports radio station best known for broadcasting Los Angeles Lakers games and other local sports coverage.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021da7f848190bb1cd0270ad6398f completed March 22, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d55b95c8190a5f3e2c05249c136 completed March 22, 2026, 8:13 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7b889c81909db7cb4baf40ed80 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:39 p.m.