Triple
T14086446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fault Management Architecture |
E339008
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | FMA |
E1080892
|
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: FMA | Statement: [Fault Management Architecture, abbreviation, FMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FMA Context triple: [Fault Management Architecture, abbreviation, FMA]
-
A.
FMA
chosen
FMA is an acronym commonly used for Fault Management Architecture, a system framework for detecting, diagnosing, and resolving hardware and software faults in computing environments.
-
B.
FMA3
FMA3 is an x86 instruction set extension that provides fused multiply-add operations to improve floating-point performance and efficiency in modern processors.
-
C.
FAMa
FAMa is the national military force of Mali responsible for the country’s defense and security operations.
-
D.
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.
-
E.
FMC
The FMC is an independent U.S. federal agency that regulates international ocean transportation to ensure a competitive and reliable maritime shipping system.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5edff1b881909ea56dc2429ef2dd |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdefe88b481908b3dca1f019e7809 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:21 p.m.