Triple

T1326422
Position Surface form Disambiguated ID Type / Status
Subject Tampa International Airport E28338 entity
Predicate ICAOcode P419 FINISHED
Object KTPA
KTPA is the ICAO airport code for Tampa International Airport, a major commercial aviation hub serving the Tampa Bay area in Florida, USA.
E151983 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: KTPA | Statement: [Tampa International Airport, ICAOcode, KTPA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KTPA
Context triple: [Tampa International Airport, ICAOcode, KTPA]
  • A. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • B. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • C. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • D. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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: KTPA
Triple: [Tampa International Airport, ICAOcode, KTPA]
Generated description
KTPA is the ICAO airport code for Tampa International Airport, a major commercial aviation hub serving the Tampa Bay area in Florida, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KTPA
Target entity description: KTPA is the ICAO airport code for Tampa International Airport, a major commercial aviation hub serving the Tampa Bay area in Florida, USA.
  • A. TPA
    TPA is an abbreviation commonly used for a Tri-Party Agreement, a legal contract involving three separate parties that defines their respective rights and obligations.
  • B. KWT
    KWT is the three-letter ISO 3166-1 alpha-3 country code assigned to Kuwait.
  • C. KAP
    KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
  • D. KZT
    KZT is the currency code for the Kazakhstani tenge, the official monetary unit of Kazakhstan.
  • E. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c19fd2648190932a85eacb3e7ec4 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf3038148190bd945f67e1a619ca completed March 8, 2026, 12:13 a.m.
NEDg Description generation batch_69acbf958b308190874369550420f827 completed March 8, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69acc0c32180819082af905fd56c4b27 completed March 8, 2026, 12:20 a.m.
Created at: March 1, 2026, 7:55 p.m.