Triple
T734324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reed College |
E14896
|
entity |
| Predicate | gradingPolicy |
P19528
|
FINISHED |
| Object | grades de-emphasized and not routinely disclosed |
—
|
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: grades de-emphasized and not routinely disclosed | Statement: [Reed College, gradingPolicy, grades de-emphasized and not routinely disclosed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradingPolicy Context triple: [Reed College, gradingPolicy, grades de-emphasized and not routinely disclosed]
-
A.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
B.
admissionPolicy
Indicates the rules or criteria governing whether and how entities are allowed to be admitted or granted access.
-
C.
grades
Indicates that one entity evaluates and assigns a score or level of performance to another entity.
-
D.
reservationPolicy
Indicates the rules or conditions governing how reservations are made, modified, or canceled between parties.
-
E.
policyLevel
Indicates the degree or tier of strictness, scope, or priority associated with a given policy.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a66658948190bdae6e521951954f |
completed | March 1, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:37 p.m.