Triple
T9675090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Revolutionary Army |
E234127
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | NRA |
E40759
|
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: NRA | Statement: [National Revolutionary Army, shortName, NRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NRA Context triple: [National Revolutionary Army, shortName, NRA]
-
A.
NRA
The NRA was a New Deal U.S. government agency created during the Great Depression to regulate industry, set fair wages and prices, and stimulate economic recovery.
-
B.
NRA
chosen
The NRA, in this context, refers to the National Revolutionary Army, which was the military arm of China’s Kuomintang government and the main Chinese force fighting in the Second Sino-Japanese War and Chinese Civil War.
-
C.
National Rifle Association of America
The National Rifle Association of America is a powerful U.S. gun rights advocacy and firearms training organization known for its influential role in American politics and Second Amendment debates.
-
D.
NRA Show
The NRA Show is a major annual trade event for the foodservice and hospitality industry organized by the National Restaurant Association.
-
E.
NSSF
NSSF is a 5G core network function responsible for selecting and managing appropriate network slices for user equipment based on service requirements and policies.
- 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_69ca848f55e48190b3f67252571c3d45 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9c6d6dd48190a77c486337a58cb6 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a30883081909e8f70225b6ee820 |
completed | April 4, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:15 p.m.