Triple
T5324225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FDPIR |
E121747
|
entity |
| Predicate | offersAlternativeTo |
P5887
|
FINISHED |
| Object | Supplemental Nutrition Assistance Program on some reservations |
—
|
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: Supplemental Nutrition Assistance Program on some reservations | Statement: [FDPIR, offersAlternativeTo, Supplemental Nutrition Assistance Program on some reservations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAlternativeTo Context triple: [FDPIR, offersAlternativeTo, Supplemental Nutrition Assistance Program on some reservations]
-
A.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
B.
offersSolution
Indicates that one entity provides or proposes a remedy, answer, or way to resolve a problem or need experienced by another entity.
-
C.
offersServiceTo
Indicates that one entity provides or makes a service available for the benefit or use of another entity.
-
D.
offersFeature
Indicates that one entity provides or makes available a particular feature or capability to another entity.
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84561c7081909e5937c7816e492c |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 1:59 p.m.