Triple
T386741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Chicago |
E8795
|
entity |
| Predicate | openedDate |
P617
|
FINISHED |
| Object | 1892 |
—
|
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: 1892 | Statement: [University of Chicago, openedDate, 1892]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openedDate Context triple: [University of Chicago, openedDate, 1892]
-
A.
opened
Indicates that one entity caused another entity (such as an object, container, or passage) to change from a closed or inaccessible state to an open or accessible state.
-
B.
openedAs
Indicates that one entity began operating, functioning, or being available to the public under the form, name, or role of another entity.
-
C.
openedIn
chosen
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period or location.
-
D.
openedForUse
Indicates that something has been made accessible and available for its intended operation or use.
-
E.
openedWith
Indicates that an entity is opened, initiated, or accessed using a specified tool, method, or instrument.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec447b5481908a5a084787b44ced |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e967d84c8190a6b647f78d95d4e4 |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.