Triple
T24419737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institute of Jazz Studies |
E615691
|
entity |
| Predicate | hasUserAccessPolicy |
P155856
|
FINISHED |
| Object | on-site research access by appointment |
—
|
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: on-site research access by appointment | Statement: [Institute of Jazz Studies, hasUserAccessPolicy, on-site research access by appointment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUserAccessPolicy Context triple: [Institute of Jazz Studies, hasUserAccessPolicy, on-site research access by appointment]
-
A.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
-
C.
hasPolicyStatus
Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
-
D.
hasAccessTowards
Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
-
E.
hasPolicySupport
Indicates that one entity provides endorsement, backing, or approval for a specific policy associated with another entity.
- 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_69e2d7e9bfac8190a748952a90957106 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a12a50819099fcdbc7096b53dd |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f2915233c48190a181c8c1924e892c |
completed | April 29, 2026, 11:16 p.m. |
Created at: April 18, 2026, 2:13 a.m.