Triple

T10677737
Position Surface form Disambiguated ID Type / Status
Subject Telluride Regional Airport E251662 entity
Predicate ICAOcode P419 FINISHED
Object KTEX
KTEX is the ICAO airport code for Telluride Regional Airport, a high-elevation public airport serving Telluride, Colorado.
 E878739 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: KTEX | Statement: [Telluride Regional Airport, ICAOcode, KTEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KTEX
Context triple: [Telluride Regional Airport, ICAOcode, KTEX]
  • A. Tecnotex
    Tecnotex is a Cuban state-owned company operating under the military-run conglomerate GAESA, likely involved in managing commercial or industrial activities linked to the armed forces.
  • B. Kennex
    Kennex is a surname most notably associated with the fictional detective John Kennex from the science fiction television series "Almost Human."
  • C. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • 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: KTEX
Triple: [Telluride Regional Airport, ICAOcode, KTEX]
Generated description
KTEX is the ICAO airport code for Telluride Regional Airport, a high-elevation public airport serving Telluride, Colorado.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KTEX
Target entity description: KTEX is the ICAO airport code for Telluride Regional Airport, a high-elevation public airport serving Telluride, Colorado.
  • A. Tecnotex
    Tecnotex is a Cuban state-owned company operating under the military-run conglomerate GAESA, likely involved in managing commercial or industrial activities linked to the armed forces.
  • B. Kennex
    Kennex is a surname most notably associated with the fictional detective John Kennex from the science fiction television series "Almost Human."
  • C. KTN
    KTN is the three-letter IATA airport code for Ketchikan International Airport in Ketchikan, Alaska.
  • D. KT
    KT is a UK postcode area covering Kingston upon Thames and surrounding parts of southwest London and north Surrey.
  • E. KT
    KT is the official vehicle registration code used on license plates for vehicles registered in Katsina State, Nigeria.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb9563908190a69cf4bd2c24fd2f completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9887e974c81908c4943339ea9a93f completed April 10, 2026, 11:32 p.m.
NEDg Description generation batch_69d98aea391c81909ec64a29053c35c1 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c013348819094bde38a057257b4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:09 p.m.