Triple
T22040237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reddit user agreement |
E544317
|
entity |
| Predicate | reservesRightFor |
P55943
|
FINISHED |
| Object | Reddit to remove content |
—
|
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: Reddit to remove content | Statement: [Reddit user agreement, reservesRightFor, Reddit to remove content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reservesRightFor Context triple: [Reddit user agreement, reservesRightFor, Reddit to remove content]
-
A.
reservedFor
Indicates that something is set aside or allocated specifically for the use, benefit, or purpose of a particular entity or group.
-
B.
reservesCasesFor
Indicates that an entity allocates or sets aside specific cases for another entity’s use, handling, or attention.
-
C.
reservesUltimateAuthorityTo
chosen
Indicates that one party retains the highest level of decision-making power and final control over another party, process, or domain, even if some authority is delegated.
-
D.
protectsRight
Indicates that one entity safeguards, upholds, or defends the legal or moral rights of another entity.
-
E.
establishesRight
Indicates that one entity creates or confers a legal or formal entitlement or privilege upon 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.