Triple
T6250598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelo v. City of New London |
E140035
|
entity |
| Predicate | expandedInterpretationOf |
P33381
|
FINISHED |
| Object | public use under the Takings Clause |
—
|
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: public use under the Takings Clause | Statement: [Kelo v. City of New London, expandedInterpretationOf, public use under the Takings Clause]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedInterpretationOf Context triple: [Kelo v. City of New London, expandedInterpretationOf, public use under the Takings Clause]
-
A.
expandedForm
Indicates that one representation is the expanded or fully written-out form of another, typically decomposing it into a sum or more detailed expression.
-
B.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
C.
containsInterpretationOf
chosen
Indicates that one entity includes or embodies an interpretation or understanding of another entity.
-
D.
intendedInterpretation
Indicates that one entity is meant to be understood or interpreted in a particular way, sense, or meaning relative to another.
-
E.
expandedUseOf
Indicates that something is being applied, implemented, or utilized more broadly or extensively than before.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633dde348190bbf02a943d94e3be |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.