Triple

T4974710
Position Surface form Disambiguated ID Type / Status
Subject Moody's Corporation E111736 entity
Predicate tickerSymbol P1447 FINISHED
Object MCO
MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
 E484630 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: MCO | Statement: [Moody's Corporation, tickerSymbol, MCO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCO
Context triple: [Moody's Corporation, tickerSymbol, MCO]
  • A. MCO
    MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
  • B. MCO
    MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
  • C. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • D. MCoE
    MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
  • E. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • 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: MCO
Triple: [Moody's Corporation, tickerSymbol, MCO]
Generated description
MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCO
Target entity description: MCO is the stock ticker symbol for Moody's Corporation, a leading global provider of credit ratings, research, and risk analysis.
  • A. MCO
    MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
  • B. MCO
    MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
  • C. MCO
    MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
  • D. MCoE
    MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
  • E. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • 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_69bd441a0eb481908050fa4273b19eae completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd722e77208190833dc760a57428d5 completed March 20, 2026, 4:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a01e548819087e3a6ae2cd581b9 completed March 21, 2026, 12:07 p.m.
NEDg Description generation batch_69be8c193f2c8190a220ffc2571bcb64 completed March 21, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_69be8c6723f08190b0e722dbb1171173 completed March 21, 2026, 12:17 p.m.
Created at: March 20, 2026, 1:33 p.m.