Triple

T10763151
Position Surface form Disambiguated ID Type / Status
Subject Garmin G1000 NXi E253881 entity
Predicate marketedAs P1395 FINISHED
Object NXi
NXi is Garmin’s enhanced generation of the G1000 integrated flight deck, featuring improved performance, graphics, and advanced avionics capabilities for modern aircraft.
 E884686 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: NXi | Statement: [Garmin G1000 NXi, marketedAs, NXi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NXi
Context triple: [Garmin G1000 NXi, marketedAs, NXi]
  • A. NX
    NX is the two-letter IATA airline designator assigned to Air Macau, the flag carrier of Macau.
  • B. NXPI
    NXPI is the stock ticker symbol for NXP Semiconductors, a global semiconductor company known for its automotive, industrial, and secure connectivity solutions.
  • C. NXST
    NXST is the stock ticker symbol for Nexstar Media Group, a major American television broadcasting and media company.
  • D. NCIX
    NCIX is the abbreviation for the National Counterintelligence Executive, the U.S. government office responsible for leading and coordinating national counterintelligence efforts.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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: NXi
Triple: [Garmin G1000 NXi, marketedAs, NXi]
Generated description
NXi is Garmin’s enhanced generation of the G1000 integrated flight deck, featuring improved performance, graphics, and advanced avionics capabilities for modern aircraft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NXi
Target entity description: NXi is Garmin’s enhanced generation of the G1000 integrated flight deck, featuring improved performance, graphics, and advanced avionics capabilities for modern aircraft.
  • A. NX
    NX is the two-letter IATA airline designator assigned to Air Macau, the flag carrier of Macau.
  • B. NXPI
    NXPI is the stock ticker symbol for NXP Semiconductors, a global semiconductor company known for its automotive, industrial, and secure connectivity solutions.
  • C. NXST
    NXST is the stock ticker symbol for Nexstar Media Group, a major American television broadcasting and media company.
  • D. NCIX
    NCIX is the abbreviation for the National Counterintelligence Executive, the U.S. government office responsible for leading and coordinating national counterintelligence efforts.
  • E. XNM
    XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a373708190ae5ac0c027a4014c completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2351db9c8190983ac834ea069fb4 completed April 14, 2026, 11:21 a.m.
NEDg Description generation batch_69de271ee56c81908d2f690f31c2d2db completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2dff4a048190823c8b5f1f7ea548 completed April 14, 2026, 12:07 p.m.
Created at: April 8, 2026, 9:16 p.m.