Triple
T14830057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinga of Hungary |
E348674
|
entity |
| Predicate | knownForLegend |
P75225
|
FINISHED |
| Object | bringing a salt mine as dowry to Poland |
—
|
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: bringing a salt mine as dowry to Poland | Statement: [Kinga of Hungary, knownForLegend, bringing a salt mine as dowry to Poland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knownForLegend Context triple: [Kinga of Hungary, knownForLegend, bringing a salt mine as dowry to Poland]
-
A.
famousLegend
Indicates that the subject is widely known and celebrated in stories, myths, or folklore, often with enduring cultural significance.
-
B.
bestKnownLegend
Indicates that one entity is the most prominent or widely recognized legendary story or myth associated with another entity.
-
C.
knownForStoryline
chosen
Indicates that an entity is recognized or notable specifically for its narrative or storyline.
-
D.
namedForKnownFor
Indicates that one entity is named after another entity specifically because that other entity is notable or recognized for something.
-
E.
associatedLegendaryFigure
Indicates that an entity is traditionally linked or connected to a particular legendary or mythological figure.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0748eec8190a39c94024c3a3e3e |
completed | April 14, 2026, 11:40 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:51 a.m.