Triple
T11468284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rule 144 |
E271832
|
entity |
| Predicate | safeHarborFor |
P88097
|
FINISHED |
| Object | resales that might otherwise be considered distributions |
—
|
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: resales that might otherwise be considered distributions | Statement: [Rule 144, safeHarborFor, resales that might otherwise be considered distributions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: safeHarborFor Context triple: [Rule 144, safeHarborFor, resales that might otherwise be considered distributions]
-
A.
safeHarborPeriod
Indicates a defined time window during which certain actions or conditions are protected from penalty, liability, or adverse consequences under an agreed rule or policy.
-
B.
safeguard
Indicates taking protective actions to shield someone or something from harm, loss, or danger.
-
C.
protectedBy
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
D.
protects
Indicates taking action to keep someone or something safe from harm, danger, or negative effects.
-
E.
legalProtectionFor
chosen
Indicates that one entity provides or is subject to legal safeguards, rights, or defenses in favor of another entity or interest.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.