Triple

T1984140
Position Surface form Disambiguated ID Type / Status
Subject Chautauqua Airlines E43100 entity
Predicate ICAO code P419 FINISHED
Object CHQ
CHQ is the ICAO airline designator assigned to Chautauqua Airlines, a former U.S. regional carrier that operated feeder services for major airlines.
 E223148 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: CHQ | Statement: [Chautauqua Airlines, ICAO code, CHQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CHQ
Context triple: [Chautauqua Airlines, ICAO code, CHQ]
  • A. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • B. CHX
    CHX is the National Rail station code for London Charing Cross, a major central London railway terminus and transport hub.
  • C. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • D. CHH
    CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
  • E. DCHA
    DCHA is the public housing agency responsible for providing and managing affordable housing and related services for low- and moderate-income residents in Washington, D.C.
  • 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: CHQ
Triple: [Chautauqua Airlines, ICAO code, CHQ]
Generated description
CHQ is the ICAO airline designator assigned to Chautauqua Airlines, a former U.S. regional carrier that operated feeder services for major airlines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CHQ
Target entity description: CHQ is the ICAO airline designator assigned to Chautauqua Airlines, a former U.S. regional carrier that operated feeder services for major airlines.
  • A. CHA
    The Charlotte Hornets are a professional basketball team based in Charlotte, North Carolina, competing in the NBA's Eastern Conference.
  • B. CHX
    CHX is the National Rail station code for London Charing Cross, a major central London railway terminus and transport hub.
  • C. CH
    CH is the postcode area covering Chester and its surrounding region in northwest England.
  • D. CHH
    CHH is the vehicle registration code used on license plates for the Mexican state of Chihuahua.
  • E. DCHA
    DCHA is the public housing agency responsible for providing and managing affordable housing and related services for low- and moderate-income residents in Washington, D.C.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb820815481908aac6d89b437225b completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae03301a2481909f6147482d490b90 completed March 8, 2026, 11:16 p.m.
NEDg Description generation batch_69ae04eb6c5c8190914fc35975400784 completed March 8, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69ae055df5ec8190ae39d938a8102b9d completed March 8, 2026, 11:25 p.m.
Created at: March 4, 2026, 7:37 p.m.