Triple

T14072699
Position Surface form Disambiguated ID Type / Status
Subject Tuscaloosa National Airport E338650 entity
Predicate ICAO code P419 FINISHED
Object KTCL
KTCL is the ICAO airport code assigned to Tuscaloosa National Airport in Tuscaloosa, Alabama.
 E1077440 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: KTCL | Statement: [Tuscaloosa National Airport, ICAO code, KTCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTCL
Context triple: [Tuscaloosa National Airport, ICAO code, KTCL]
  • A. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • B. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • C. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • D. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • E. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • 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: KTCL
Triple: [Tuscaloosa National Airport, ICAO code, KTCL]
Generated description
KTCL is the ICAO airport code assigned to Tuscaloosa National Airport in Tuscaloosa, Alabama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTCL
Target entity description: KTCL is the ICAO airport code assigned to Tuscaloosa National Airport in Tuscaloosa, Alabama.
  • A. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • B. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • C. KT
    KT is the post-nominal abbreviation for Knight of the Order of the Thistle, one of Scotland’s highest and oldest orders of chivalry.
  • D. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • E. KTW
    KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcb66eeb248190b73e992ab6b9af82 completed May 7, 2026, 3:57 p.m.
NEDg Description generation batch_69fcc37502048190b24438c0fb161fdf completed May 7, 2026, 4:53 p.m.
NED2 Entity disambiguation (via description) batch_69fcc3db83ac819083b728d039b8d345 completed May 7, 2026, 4:54 p.m.
Created at: April 9, 2026, 10:21 p.m.