Triple
T48615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helvering v. Davis |
E954
|
entity |
| Predicate | precedentFor |
P3138
|
FINISHED |
| Object | later cases involving federal spending power |
—
|
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: later cases involving federal spending power | Statement: [Helvering v. Davis, precedentFor, later cases involving federal spending power]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedentFor Context triple: [Helvering v. Davis, precedentFor, later cases involving federal spending power]
-
A.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
B.
predecessor
Indicates that one entity comes before another in an ordered sequence or succession.
-
C.
predecessorLocatedAt
Indicates that the location specified was the place where the immediately preceding version, state, or instance of an entity was situated.
-
D.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
-
E.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
- F. None of above. chosen
Provenance (4 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24c1a5c14819088748317a3f262c8 |
completed | Feb. 28, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69a24abe7cb481908d969e54032f6c75 |
completed | Feb. 28, 2026, 1:54 a.m. |
| PDg | Predicate description generation | batch_69a24c198e74819088a211001d0b54d4 |
completed | Feb. 28, 2026, 1:59 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.