Triple
T5478382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terry v. Ohio |
E123410
|
entity |
| Predicate | policeActionAtIssue |
P18305
|
FINISHED |
| Object | brief investigatory stop |
—
|
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: brief investigatory stop | Statement: [Terry v. Ohio, policeActionAtIssue, brief investigatory stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policeActionAtIssue Context triple: [Terry v. Ohio, policeActionAtIssue, brief investigatory stop]
-
A.
lawEnforcementResponse
chosen
Indicates the actions or measures taken by law enforcement agencies in reaction to an incident, behavior, or situation.
-
B.
attemptedArrestBy
Indicates that one entity tried, but may not have succeeded, to place another entity under arrest.
-
C.
lawEnforcementLabel
Indicates that an entity has been designated, tagged, or classified by a law enforcement authority for monitoring, identification, or investigative purposes.
-
D.
lawEnforcementStatus
Indicates the relationship between an entity and its current standing or condition with respect to law enforcement, such as being under investigation, wanted, detained, or cleared.
-
E.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to another entity.
- 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.