Triple

T21034144
Position Surface form Disambiguated ID Type / Status
Subject La Junta Municipal Airport E518143 entity
Predicate ICAO code P419 FINISHED
Object KLHX
KLHX is the ICAO airport code assigned to La Junta Municipal Airport in Colorado, United States.
E1463839 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: KLHX | Statement: [La Junta Municipal Airport, ICAO code, KLHX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KLHX
Context triple: [La Junta Municipal Airport, ICAO code, KLHX]
  • A. KLHZ
    KLHZ is the ICAO airport code for Triangle North Executive Airport, a public general aviation facility in North Carolina, United States.
  • B. KLHK
    KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • C. KHHR
    KHHR is the ICAO airport code for Hawthorne Municipal Airport, a public airport serving Hawthorne in Los Angeles County, California.
  • D. KLHV
    KLHV is the ICAO airport code for William T. Piper Memorial Airport in Pennsylvania, United States.
  • E. KLYH
    KLYH is the ICAO airport code for Lynchburg Regional Airport, a public airport serving Lynchburg, Virginia, in the United States.
  • 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: KLHX
Triple: [La Junta Municipal Airport, ICAO code, KLHX]
Generated description
KLHX is the ICAO airport code assigned to La Junta Municipal Airport in Colorado, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KLHX
Target entity description: KLHX is the ICAO airport code assigned to La Junta Municipal Airport in Colorado, United States.
  • A. KLHZ
    KLHZ is the ICAO airport code for Triangle North Executive Airport, a public general aviation facility in North Carolina, United States.
  • B. KLHK
    KLHK is the Indonesian government ministry responsible for environmental protection, natural resource management, and forestry policy.
  • C. KHHR
    KHHR is the ICAO airport code for Hawthorne Municipal Airport, a public airport serving Hawthorne in Los Angeles County, California.
  • D. KLHV
    KLHV is the ICAO airport code for William T. Piper Memorial Airport in Pennsylvania, United States.
  • E. KLYH
    KLYH is the ICAO airport code for Lynchburg Regional Airport, a public airport serving Lynchburg, Virginia, in the United States.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc84b4ac8190bcee5fbba730b499 completed April 21, 2026, 4:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09474a1518819090301f907150f98c completed May 17, 2026, 4:42 a.m.
NEDg Description generation batch_6a0948e724748190a2dd91be5a9888ff completed May 17, 2026, 4:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0949e567808190aa71f542a850a516 completed May 17, 2026, 4:53 a.m.
Created at: April 16, 2026, 2:01 p.m.