Triple
T11075882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pritzker Military Museum & Library |
E261863
|
entity |
| Predicate | offersAccessType |
P68242
|
FINISHED |
| Object | on-site research access |
—
|
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 | Statement: [Pritzker Military Museum & Library, offersAccessType, on-site research access]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersAccessType Context triple: [Pritzker Military Museum & Library, offersAccessType, on-site research access]
-
A.
offersAccess
chosen
Indicates that one entity provides another entity with the ability or permission to use, enter, or interact with a resource, service, or location.
-
B.
offersAccessVia
Indicates that one entity provides a means or channel through which another entity can be accessed or utilized.
-
C.
offersConnectionTo
Indicates that one entity provides or enables access, linkage, or connectivity to another entity.
-
D.
offersViewOf
Indicates that one entity provides a vantage point from which another entity can be seen or visually appreciated.
-
E.
offersEdition
Indicates that one entity provides or makes available a particular version or edition of 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994fcbc081908ff8f7321c0c5892 |
completed | April 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69d74415403c81909778bcd829e8832e |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.