Triple
T23621333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E. Azalia Hackley Collection |
E583326
|
entity |
| Predicate | typeOfInstitutionalResource |
P153309
|
FINISHED |
| Object | research collection |
—
|
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: research collection | Statement: [E. Azalia Hackley Collection, typeOfInstitutionalResource, research collection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfInstitutionalResource Context triple: [E. Azalia Hackley Collection, typeOfInstitutionalResource, research collection]
-
A.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
-
B.
usedByInstitutionType
Indicates that something (such as a resource, tool, or service) is utilized or employed by a particular type or category of institution.
-
C.
typeOfInstitutionNetwork
Indicates a relationship where an institution is classified as belonging to a particular type or category of institutional network.
-
D.
locatedInInstitutionType
Indicates that one entity is situated within, or belongs to, an institution of a specified type.
-
E.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b179ebf48190a34ad0d3ddf0e103 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:46 p.m.