Triple
T14795085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FPS badge |
E347751
|
entity |
| Predicate | misuse |
P21521
|
FINISHED |
| Object | subject to federal penalties |
—
|
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: subject to federal penalties | Statement: [FPS badge, misuse, subject to federal penalties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: misuse Context triple: [FPS badge, misuse, subject to federal penalties]
-
A.
misuseCanConstitute
chosen
Indicates that improper or incorrect use of something can amount to, or be considered as, a particular offense, violation, or condition.
-
B.
misappliedAs
Indicates that something has been used, interpreted, or assigned in an incorrect, inappropriate, or unintended way.
-
C.
allegedUse
Indicates that something is claimed or suspected to have been used, without confirming that the use actually occurred.
-
D.
misjudges
Indicates that one entity forms an incorrect or unfair opinion or assessment about another entity or situation.
-
E.
endedUseWith
Indicates that an entity has stopped or terminated its use or association with another entity.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5fdd548190a2ee5e668c2b20b4 |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.