Triple

T15712845
Position Surface form Disambiguated ID Type / Status
Subject M E380881 entity
Predicate hasFIGITicker P5719 FINISHED
Object M-US
M-US is the stock ticker symbol for Macy’s, Inc., the American department store chain, on U.S. financial markets.
 E1172509 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: M-US | Statement: [M, hasFIGITicker, M-US]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M-US
Context triple: [M, hasFIGITicker, M-US]
  • A. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • B. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • C. MU
    MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
  • D. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • E. USM
    USM is the abbreviation for the U.S. Department of State’s Under Secretary for Management, the senior official overseeing the department’s administrative, budgetary, and logistical functions.
  • 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: M-US
Triple: [M, hasFIGITicker, M-US]
Generated description
M-US is the stock ticker symbol for Macy’s, Inc., the American department store chain, on U.S. financial markets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M-US
Target entity description: M-US is the stock ticker symbol for Macy’s, Inc., the American department store chain, on U.S. financial markets.
  • A. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • B. MU
    MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
  • C. MU
    MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
  • D. USM
    USM is the stock ticker symbol for United States Cellular Corporation, a regional wireless telecommunications provider in the United States.
  • E. USM
    USM is the IATA airport code for Samui International Airport serving Ko Samui in Thailand.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8f5d6081908243fa59b46b7c76 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757f571881908015fe68df2a5e69 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff769d305881908791ffcb0a30ee35 completed May 9, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_69ff770b73d48190a422a0760c03f763 completed May 9, 2026, 6:03 p.m.
Created at: April 10, 2026, 4:45 a.m.