Triple

T3466490
Position Surface form Disambiguated ID Type / Status
Subject Liberty Media E73149 entity
Predicate tickerSymbol P1447 FINISHED
Object LSXMK
LSXMK is a tracking stock series of Liberty Media Corporation that reflects the performance of its SiriusXM Group assets.
E360541 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: LSXMK | Statement: [Liberty Media, tickerSymbol, LSXMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSXMK
Context triple: [Liberty Media, tickerSymbol, LSXMK]
  • A. LXS
    LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
  • B. 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.
  • C. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • D. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal 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: LSXMK
Triple: [Liberty Media, tickerSymbol, LSXMK]
Generated description
LSXMK is a tracking stock series of Liberty Media Corporation that reflects the performance of its SiriusXM Group assets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LSXMK
Target entity description: LSXMK is a tracking stock series of Liberty Media Corporation that reflects the performance of its SiriusXM Group assets.
  • A. LXS
    LXS is the IATA airport code for the main airport serving the Greek island of Lemnos in the northern Aegean Sea.
  • B. 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.
  • C. LX
    LX is the IATA airline designator used to identify Swiss International Air Lines on tickets, timetables, and flight numbers.
  • D. LEX
    LEX is the abbreviation for the Léman Express, a cross-border commuter rail network serving the Greater Geneva region in Switzerland and France.
  • E. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb1090188190ac8aafd87dfaa6a7 completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680412c0819086da51a05b24a676 completed March 13, 2026, 1:27 a.m.
NEDg Description generation batch_69b368d21f7c819092660301b7d840db completed March 13, 2026, 1:30 a.m.
NED2 Entity disambiguation (via description) batch_69b3694e92b8819082d54a56d901e9f8 completed March 13, 2026, 1:33 a.m.
Created at: March 8, 2026, 3:17 p.m.