Triple
T22061483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Illinois v. Krull |
E545161
|
entity |
| Predicate | goodFaithStandard |
P146473
|
FINISHED |
| Object | objectively reasonable reliance on a statute |
—
|
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: objectively reasonable reliance on a statute | Statement: [Illinois v. Krull, goodFaithStandard, objectively reasonable reliance on a statute]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goodFaithStandard Context triple: [Illinois v. Krull, goodFaithStandard, objectively reasonable reliance on a statute]
-
A.
hasFair
Indicates that an entity organizes, hosts, or is associated with a fair or similar event.
-
B.
protectionStandard
Indicates that one entity establishes or adheres to a specified level or type of protection for another entity or resource.
-
C.
guaranteedPrinciple
Indicates that one entity ensures or underwrites the validity, fulfillment, or enforcement of a principle associated with another entity.
-
D.
hasEthicalStandard
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
E.
ethicalInstruction
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285d5e508190b3124a70fe55b32e |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:27 p.m.