Triple
T32921952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Times and Seasons |
E842165
|
entity |
| Predicate | printingOfficeLocation |
P60081
|
FINISHED |
| Object | Nauvoo, Illinois |
—
|
NE NERFINISHED |
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: Nauvoo, Illinois | Statement: [Times and Seasons, printingOfficeLocation, Nauvoo, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: printingOfficeLocation Context triple: [Times and Seasons, printingOfficeLocation, Nauvoo, Illinois]
-
A.
collectorOfficeLocation
Indicates the physical office location associated with a particular collector.
-
B.
printingCenter
chosen
Indicates a relationship where one entity serves as the printing center (i.e., the facility or service that performs printing) for another entity.
-
C.
printLocation
Indicates the place or medium where something is printed or made publicly available in printed form.
-
D.
officeDeskLocation
Indicates the specific desk or workstation location assigned to or used by an entity within an office space.
-
E.
officeName
Indicates the official name assigned to an office or workplace.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d6bee48190a50f31472b3e1006 |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.