Triple
T5478385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry v. Ohio |
E123410
|
entity |
| Predicate | reasoningKeyConcept |
P531
|
FINISHED |
| Object | balancing test between public interest and individual rights |
—
|
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: balancing test between public interest and individual rights | Statement: [Terry v. Ohio, reasoningKeyConcept, balancing test between public interest and individual rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasoningKeyConcept Context triple: [Terry v. Ohio, reasoningKeyConcept, balancing test between public interest and individual rights]
-
A.
primaryConcept
Indicates that one concept is the main or central idea in relation to another concept or context.
-
B.
philosophicalConcept
Indicates that one entity is a philosophical concept that characterizes, explains, or is thematically central to the other entity.
-
C.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
D.
introducedConcept
Indicates that one entity is responsible for presenting, defining, or bringing a new concept into use or awareness for another entity or context.
-
E.
categoryConcept
Indicates that one entity serves as a categorical type or conceptual class under which the other entity is grouped or classified.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.