Triple
T12733171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Somerville College Library |
E304292
|
entity |
| Predicate | hasQuietPolicy |
P31242
|
FINISHED |
| Object | quiet study environment |
—
|
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: quiet study environment | Statement: [Somerville College Library, hasQuietPolicy, quiet study environment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuietPolicy Context triple: [Somerville College Library, hasQuietPolicy, quiet study environment]
-
A.
isRelativelyQuiet
Indicates that one entity exhibits a lower level of noise or sound compared to another entity or a typical baseline.
-
B.
isQuietCommunity
Indicates that a community is characterized by low noise levels, minimal disturbances, and a generally calm, peaceful atmosphere.
-
C.
isQuieterThan
Indicates that one entity produces less sound or noise than another entity.
-
D.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
-
E.
hasNotablePolicy
chosen
Indicates that an entity possesses a policy that is distinguished, significant, or otherwise noteworthy in its context.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.