Triple

T6352932
Position Surface form Disambiguated ID Type / Status
Subject Suwannee County Airport E142919 entity
Predicate IATA code P2569 FINISHED
Object LCQ
LCQ is the IATA airport code for Suwannee County Airport, a public airport serving the Live Oak area in Suwannee County, Florida.
E586092 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: LCQ | Statement: [Suwannee County Airport, IATA code, LCQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LCQ
Context triple: [Suwannee County Airport, IATA code, LCQ]
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • C. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • D. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • E. LCL
    LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
  • 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: LCQ
Triple: [Suwannee County Airport, IATA code, LCQ]
Generated description
LCQ is the IATA airport code for Suwannee County Airport, a public airport serving the Live Oak area in Suwannee County, Florida.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LCQ
Target entity description: LCQ is the IATA airport code for Suwannee County Airport, a public airport serving the Live Oak area in Suwannee County, Florida.
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LCJ
    LCJ is the IATA airport code for Łódź Władysław Reymont Airport in Łódź, Poland.
  • C. LQSA
    LQSA is the ICAO airport code for Sarajevo International Airport, the main international gateway to Bosnia and Herzegovina’s capital city.
  • D. LCL
    LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
  • E. LCL
    LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067dec4a88190992d57a0cc7782ad completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c60459a7c081909b551dcf1735bf75 completed March 27, 2026, 4:15 a.m.
NEDg Description generation batch_69c605212688819081fc8f9c1500ff50 completed March 27, 2026, 4:18 a.m.
NED2 Entity disambiguation (via description) batch_69c605c0db308190960370a81ff8123b completed March 27, 2026, 4:21 a.m.
Created at: March 22, 2026, 4:31 p.m.