Triple
T23297333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F.N.A. Brescia |
E590207
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | F.N.A. |
—
|
NE NERFINISHED |
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: F.N.A. | Statement: [F.N.A. Brescia, hasAbbreviation, F.N.A.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F.N.A. Context triple: [F.N.A. Brescia, hasAbbreviation, F.N.A.]
-
A.
F.N.A. Brescia
chosen
F.N.A. Brescia is a manufacturer’s marking associated with the Fabbrica Nazionale d’Armi di Brescia, an Italian state arms factory known for producing military firearms.
-
B.
F.A.C.
F.A.C. is the standard legal abbreviation used to refer to the Florida Administrative Code, which contains the administrative rules and regulations of the state of Florida.
-
C.
F.N
"F.N" is a breakout drill-influenced hip-hop track by Lil Tjay that reflects on betrayal, violence, and survival in his rise from the streets.
-
D.
F.B.A.
F.B.A. is an abbreviated form of the term "FBA," commonly used to denote "Fulfillment by Amazon" in e-commerce contexts.
-
E.
Fingazz
Fingazz is a hip hop producer and talkbox artist known for his smooth, funk-influenced West Coast sound and collaborations with various Chicano rap artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.