Triple
T2062284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1965 Federal Cigarette Labeling and Advertising Act |
E45817
|
entity |
| Predicate | warningLocation |
P3059
|
FINISHED |
| Object | side panel of cigarette packages |
—
|
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: side panel of cigarette packages | Statement: [1965 Federal Cigarette Labeling and Advertising Act, warningLocation, side panel of cigarette packages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warningLocation Context triple: [1965 Federal Cigarette Labeling and Advertising Act, warningLocation, side panel of cigarette packages]
-
A.
warnsAbout
Indicates that one entity alerts or cautions another entity about a potential danger, risk, or problem.
-
B.
announcementLocation
chosen
Indicates the place or venue where an announcement is made or presented.
-
C.
trapLocation
Indicates the specific place or area where a trap is set, located, or expected to be found.
-
D.
legendLocation
Indicates the place or setting where a particular legend, myth, or traditional story is situated or associated.
-
E.
apseLocation
Indicates the specific place or position where an apse is situated within a larger structure or context.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d239b48190a9f303446cbe3aa6 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7ad5a7c8190b92575d6053b3fb7 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.