Triple
T34104109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Pollos Hermanos |
E874651
|
entity |
| Predicate | coversIllegalActivityWith |
P54348
|
FINISHED |
| Object | legitimate business operations |
—
|
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: legitimate business operations | Statement: [Los Pollos Hermanos, coversIllegalActivityWith, legitimate business operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversIllegalActivityWith Context triple: [Los Pollos Hermanos, coversIllegalActivityWith, legitimate business operations]
-
A.
illegalActivityAssociatedWith
chosen
Indicates that there is a connection between an entity and an unlawful or criminal activity.
-
B.
keptIllegally
Indicates that something is possessed, held, or maintained in violation of laws or regulations.
-
C.
coversActionType
Indicates that one entity’s scope, responsibility, or applicability includes or encompasses a particular type of action.
-
D.
protectedActivity
Indicates that an entity is engaged in an action or behavior that is legally or formally safeguarded from retaliation, interference, or adverse consequences.
-
E.
consideredIllegalUnder
Indicates that one entity is regarded as illegal or unlawful according to the laws, rules, or regulations defined by 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_69f349a80d4481908527317d43f5c579 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 1, 2026, 1:53 a.m.