Triple

T2478494
Position Surface form Disambiguated ID Type / Status
Subject National Firearms Act E55146 entity
Predicate shortName P43 FINISHED
Object NFA
NFA is a common abbreviation for the National Firearms Act, a U.S. federal law regulating certain classes of firearms and related devices.
 E269915 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: NFA | Statement: [National Firearms Act, shortName, NFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NFA
Context triple: [National Firearms Act, shortName, NFA]
  • A. DFA
    DFA is an online advertising management and ad-serving platform originally developed by DoubleClick and later integrated into Google's marketing and ad technology stack.
  • B. FSM
    FSM is the three-letter ISO 3166-1 alpha-3 country code for the Federated States of Micronesia, a Pacific island nation.
  • C. FSM
    FSM is the abbreviation for the French Submarine Forces, the branch of the French Navy responsible for operating and maintaining France’s submarine fleet, including its nuclear deterrent.
  • D. .nf
    .nf is the country code top-level domain (ccTLD) assigned to Norfolk Island for use in internet addresses.
  • E. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • 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: NFA
Triple: [National Firearms Act, shortName, NFA]
Generated description
NFA is a common abbreviation for the National Firearms Act, a U.S. federal law regulating certain classes of firearms and related devices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NFA
Target entity description: NFA is a common abbreviation for the National Firearms Act, a U.S. federal law regulating certain classes of firearms and related devices.
  • A. DFA
    DFA is an online advertising management and ad-serving platform originally developed by DoubleClick and later integrated into Google's marketing and ad technology stack.
  • B. FSM
    FSM is the three-letter ISO 3166-1 alpha-3 country code for the Federated States of Micronesia, a Pacific island nation.
  • C. FSM
    FSM is the abbreviation for the French Submarine Forces, the branch of the French Navy responsible for operating and maintaining France’s submarine fleet, including its nuclear deterrent.
  • D. .nf
    .nf is the country code top-level domain (ccTLD) assigned to Norfolk Island for use in internet addresses.
  • E. Nfk
    Nfk is the standard postal abbreviation used for the English county of Norfolk.
  • 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_69ab49e279e88190ab10d7248aea9d11 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd14ef7d081909159be158bc0ce45 completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17aea398819092cb14b93abd0ff7 completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af18f9af388190bbb4242c89d4272e completed March 9, 2026, 7:01 p.m.
NED2 Entity disambiguation (via description) batch_69af198534c0819090c742f39501fac6 completed March 9, 2026, 7:03 p.m.
Created at: March 6, 2026, 9:45 p.m.