Triple
T8276156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olmstead v. United States dissent |
E193551
|
entity |
| Predicate | addressesTechnology |
P1485
|
FINISHED |
| Object | telephone wiretapping |
—
|
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: telephone wiretapping | Statement: [Olmstead v. United States dissent, addressesTechnology, telephone wiretapping]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: addressesTechnology Context triple: [Olmstead v. United States dissent, addressesTechnology, telephone wiretapping]
-
A.
addresses
Indicates that one entity directs speech, communication, or written correspondence specifically toward another entity.
-
B.
technologyBasis
Indicates that one entity is founded on, enabled by, or fundamentally relies upon the technology provided or represented by another entity.
-
C.
technicalContact
Indicates that one entity serves as the primary point of contact for technical issues, support, or maintenance related to another entity.
-
D.
addressesWork
Indicates that one entity directs or delivers work-related communication or correspondence to another entity.
-
E.
associatedWithTechnology
chosen
Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798d69508190b581ad8a38730175 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:51 p.m.