Triple
T15796726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin v. Hunter's Lessee |
E383001
|
entity |
| Predicate | consideredLandmarkCaseIn |
P1628
|
FINISHED |
| Object | United States constitutional law |
—
|
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: United States constitutional law | Statement: [Martin v. Hunter's Lessee, consideredLandmarkCaseIn, United States constitutional law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consideredLandmarkCaseIn Context triple: [Martin v. Hunter's Lessee, consideredLandmarkCaseIn, United States constitutional law]
-
A.
landmarkCase
Indicates that a legal case is historically significant or precedent-setting within a legal system.
-
B.
notableSupremeCourtCase
chosen
Indicates that a legal case is recognized as a significant or influential decision by the Supreme Court.
-
C.
notableCaseArea
Indicates that a particular geographic area is notably associated with, or significantly involved in, a given case or legal matter.
-
D.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
E.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4dd4fd88190a77b224b4dee6541 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.