Triple
T23297330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F.N.A. Brescia |
E590207
|
entity |
| Predicate | markingPlacement |
P103926
|
FINISHED |
| Object | receiver of firearms |
—
|
LITERAL 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: receiver of firearms | Statement: [F.N.A. Brescia, markingPlacement, receiver of firearms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markingPlacement Context triple: [F.N.A. Brescia, markingPlacement, receiver of firearms]
-
A.
markingFeature
Indicates a feature that serves as a distinguishing mark or identifier associated with an entity.
-
B.
locationOfMark
chosen
Indicates that one entity is the place or position where a particular mark is found or applied.
-
C.
logoPlacement
Indicates the spatial or contextual position where a logo is displayed or applied in relation to another object, surface, or medium.
-
D.
marksLocationOf
Indicates that one entity serves as a marker, sign, or indicator specifying the location of another entity.
-
E.
stickPlacement
Indicates the spatial arrangement or positioning of a stick relative to other objects or a reference frame.
- F. None of above.
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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cfc79081909966638cec48cf60 |
completed | April 29, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69effcf325f88190b320268c3c551abb |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 5:03 p.m.