Triple

T16031357
Position Surface form Disambiguated ID Type / Status
Subject Tupelo Regional Airport E388852 entity
Predicate hasICAOCode P419 FINISHED
Object KTUP
KTUP is the ICAO airport code for Tupelo Regional Airport, a public airport serving Tupelo, Mississippi, in the United States.
 E1188906 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: KTUP | Statement: [Tupelo Regional Airport, hasICAOCode, KTUP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTUP
Context triple: [Tupelo Regional Airport, hasICAOCode, KTUP]
  • A. KTUL
    KTUL is the ICAO airport code for Tulsa International Airport, a major commercial and military aviation facility serving Tulsa, Oklahoma.
  • B. KUTP
    KUTP is a television station in the United States that operates as part of the Fox-owned group of local broadcast outlets.
  • C. ktu
    ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • 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. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • 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: KTUP
Triple: [Tupelo Regional Airport, hasICAOCode, KTUP]
Generated description
KTUP is the ICAO airport code for Tupelo Regional Airport, a public airport serving Tupelo, Mississippi, in the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTUP
Target entity description: KTUP is the ICAO airport code for Tupelo Regional Airport, a public airport serving Tupelo, Mississippi, in the United States.
  • A. KTUL
    KTUL is the ICAO airport code for Tulsa International Airport, a major commercial and military aviation facility serving Tulsa, Oklahoma.
  • B. KUTP
    KUTP is a television station in the United States that operates as part of the Fox-owned group of local broadcast outlets.
  • C. ktu
    ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
  • 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. KT
    KT is the vehicle registration code used on license plates for the Kitzingen district in Bavaria, Germany.
  • 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_69d86dada3808190825d5f80d72fbe88 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183384d848190988be7e68770f6ba completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf35ae808190aeb154a273c32a70 completed May 10, 2026, 12:20 a.m.
NEDg Description generation batch_69ffd0384804819080f63b86d5114950 completed May 10, 2026, 12:24 a.m.
NED2 Entity disambiguation (via description) batch_69ffd09e128c819081e92a479a4a24f9 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:56 a.m.