Triple
T6237803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Mary of the Snows |
E139518
|
entity |
| Predicate | linkedToLegend |
P1582
|
FINISHED |
| Object | miraculous snowfall in Rome |
—
|
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: miraculous snowfall in Rome | Statement: [Saint Mary of the Snows, linkedToLegend, miraculous snowfall in Rome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToLegend Context triple: [Saint Mary of the Snows, linkedToLegend, miraculous snowfall in Rome]
-
A.
hasLegendAssociatedWith
chosen
Indicates that something is connected to or accompanied by a traditional story, myth, or legend.
-
B.
linkedFigure
Indicates that one figure is associated or connected to another figure, typically as a reference or related visual element.
-
C.
instrumentInLegend
Indicates that an instrument is featured or plays a role within a legend or mythological narrative.
-
D.
legend
Indicates that an entity is a traditional or historical story, figure, or narrative widely regarded as legendary rather than strictly factual.
-
E.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0630373088190a9d4b1f7e442c129 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:23 p.m.