Triple

T21034145
Position Surface form Disambiguated ID Type / Status
Subject La Junta Municipal Airport E518143 entity
Predicate FAA LID P420 FINISHED
Object LHX
LHX is the FAA location identifier for La Junta Municipal Airport in Colorado, United States.
 E1464527 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: LHX | Statement: [La Junta Municipal Airport, FAA LID, LHX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHX
Context triple: [La Junta Municipal Airport, FAA LID, LHX]
  • A. LHX
    LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
  • B. LHZ
    LHZ is the IATA airport code for Triangle North Executive Airport, a public airport serving the Louisburg, North Carolina area.
  • C. HLX
    HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
  • D. LTX
    LTX is the IATA airport code for Cotopaxi International Airport serving Latacunga, Ecuador.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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: LHX
Triple: [La Junta Municipal Airport, FAA LID, LHX]
Generated description
LHX is the FAA location identifier for La Junta Municipal Airport in Colorado, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHX
Target entity description: LHX is the FAA location identifier for La Junta Municipal Airport in Colorado, United States.
  • A. LHX
    LHX is the stock ticker symbol for L3Harris Technologies, a major American defense and aerospace technology company.
  • B. LHZ
    LHZ is the IATA airport code for Triangle North Executive Airport, a public airport serving the Louisburg, North Carolina area.
  • C. HLX
    HLX is the ICAO airline designator for Hapag-Lloyd Express, a former German low-cost carrier.
  • D. LTX
    LTX is the IATA airport code for Cotopaxi International Airport serving Latacunga, Ecuador.
  • E. LX
    LX is the second-generation Holden Torana series produced in the mid-1970s, notable for introducing the A9X performance package and being a popular Australian mid-size car in both road and racing forms.
  • 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_6a09505fd1d0819098d8b390884e36db completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09517954888190a2e20555afd95959 completed May 17, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a095204ba6c8190aff8dbb3b4b537d4 completed May 17, 2026, 5:28 a.m.
Created at: April 16, 2026, 2:01 p.m.