Triple
T3245843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnuson–Moss Warranty Act provisions |
E68064
|
entity |
| Predicate | preserve |
P25816
|
FINISHED |
| Object | state law implied warranties |
—
|
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: state law implied warranties | Statement: [Magnuson–Moss Warranty Act provisions, preserve, state law implied warranties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preserve Context triple: [Magnuson–Moss Warranty Act provisions, preserve, state law implied warranties]
-
A.
save
Indicates preserving or storing something from loss, harm, or use, often for future benefit or protection.
-
B.
conserves
chosen
Indicates that an entity protects, preserves, or maintains another entity or resource in its existing state, preventing loss, damage, or depletion.
-
C.
preservationPurpose
Indicates that something exists, is created, or is maintained with the specific aim of preserving or safeguarding another entity or resource.
-
D.
preservationFocus
Indicates that the primary concern or emphasis is on maintaining, protecting, or conserving something in its existing or intended state.
-
E.
preservationFactor
Indicates the degree to which something is protected, maintained, or kept intact over time, often moderating how much change, loss, or degradation occurs.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1a96148190b63bf46209712707 |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.