Triple

T3206316
Position Surface form Disambiguated ID Type / Status
Subject Freddie Mac E67169 entity
Predicate tickerSymbol P1447 FINISHED
Object FMCC
FMCC is the stock ticker symbol for Freddie Mac, a U.S. government-sponsored enterprise that provides liquidity and stability to the residential mortgage market.
 E335786 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: FMCC | Statement: [Freddie Mac, tickerSymbol, FMCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FMCC
Context triple: [Freddie Mac, tickerSymbol, FMCC]
  • A. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • B. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • C. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • D. RMCC
    RMCC is a Canadian military academy and degree-granting university that educates and trains officer cadets for service in the Canadian Armed Forces.
  • E. FMC
    FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
  • 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: FMCC
Triple: [Freddie Mac, tickerSymbol, FMCC]
Generated description
FMCC is the stock ticker symbol for Freddie Mac, a U.S. government-sponsored enterprise that provides liquidity and stability to the residential mortgage market.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FMCC
Target entity description: FMCC is the stock ticker symbol for Freddie Mac, a U.S. government-sponsored enterprise that provides liquidity and stability to the residential mortgage market.
  • A. FFC
    FFC is the commonly used abbreviation for Falkirk Football Club, a professional Scottish football team based in Falkirk.
  • B. FFC
    FFC is the common abbreviation for Fluminense Football Club, a traditional Brazilian sports club best known for its professional football team based in Rio de Janeiro.
  • C. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • D. RMCC
    RMCC is a Canadian military academy and degree-granting university that educates and trains officer cadets for service in the Canadian Armed Forces.
  • E. FMC
    FMC is the Spanish acronym for the Federation of Cuban Women, a mass organization in Cuba dedicated to advancing women's rights and gender equality.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa56c21c8190b6aa7c56cb15ad56 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcf7b2481908bc52cfa71bd313c completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24cb0c5f0819083ea589ded12ef3b completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d2ce888819087cc7c3f5db0e859 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.