Triple
T11393843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Firearms Act |
E269915
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | NFA |
E269915
|
NE FINISHED |
How this triple was built (2 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.
NFA
chosen
NFA is a common abbreviation for the National Firearms Act, a U.S. federal law regulating certain classes of firearms and related devices.
-
B.
NFA
NFA (Nondeterministic Finite Automaton) is a theoretical model of computation used in automata theory and formal language processing to recognize regular languages, allowing multiple possible transitions for a given state and input symbol.
-
C.
NFA
NFA is a commonly used abbreviation for Norwich Free Academy, a historic secondary school located in Norwich, Connecticut.
-
D.
DFA
DFA is the commonly used acronym for the Department of Foreign Affairs of the Philippines, the government agency responsible for managing the country’s foreign relations and diplomacy.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80018a58c81908b80dc9abd18d650 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cb43b988190876af2de4be49628 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.