Triple
T28907560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Montserrat |
E733125
|
entity |
| Predicate | dateOfCurrentImage |
P38643
|
FINISHED |
| Object | 12th century |
—
|
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: 12th century | Statement: [Our Lady of Montserrat, dateOfCurrentImage, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfCurrentImage Context triple: [Our Lady of Montserrat, dateOfCurrentImage, 12th century]
-
A.
photographTakenAt
Indicates that a photograph was captured at a specific location or during a particular event or time.
-
B.
hasCaptureDate
chosen
Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
-
C.
capturedAt
Indicates the specific time or moment at which an entity was captured, recorded, or taken.
-
D.
imageKeptAt
Indicates that an image is stored or maintained at a specific location or storage resource.
-
E.
dateDepicted
Indicates that one entity specifies the calendar date on which the other entity, typically an event or scene, is depicted as occurring.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f74062b9388190b30546cf700a825c |
completed | May 3, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69f73c802b848190b61a416b7488bd96 |
completed | May 3, 2026, 12:16 p.m. |
Created at: April 28, 2026, 8:08 a.m.