Triple

T5101840
Position Surface form Disambiguated ID Type / Status
Subject Royal Mint of Spain E114996 entity
Predicate shortName P43 FINISHED
Object FNMT
FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
 E494503 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: FNMT | Statement: [Royal Mint of Spain, shortName, FNMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FNMT
Context triple: [Royal Mint of Spain, shortName, FNMT]
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • C. FNT
    FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
  • D. FNM
    FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
  • E. NMT
    NMT is a science and engineering-focused public research university located in Socorro, New Mexico, known for its strong programs in mining, engineering, and the physical sciences.
  • 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: FNMT
Triple: [Royal Mint of Spain, shortName, FNMT]
Generated description
FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FNMT
Target entity description: FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
  • A. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • B. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • C. FNT
    FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
  • D. FNM
    FNM was the former stock ticker symbol for Fannie Mae, the U.S. government-sponsored enterprise that provides liquidity and stability to the mortgage market.
  • E. NMT
    NMT is a science and engineering-focused public research university located in Socorro, New Mexico, known for its strong programs in mining, engineering, and the physical sciences.
  • 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_69bd4440b3348190be1251fd8b7951f1 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7584ed408190a6d1086588f24faa completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8d24388190882b9933a2a798c4 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebbe7e8e081909814e97001f8cf89 completed March 21, 2026, 3:40 p.m.
NED2 Entity disambiguation (via description) batch_69bebd33f25c8190a5d9b78ef71847e3 completed March 21, 2026, 3:45 p.m.
Created at: March 20, 2026, 1:41 p.m.