Triple
T685523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bochnia Royal Salt Mine |
E13275
|
entity |
| Predicate | hasUndergroundLake |
P10755
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Bochnia Royal Salt Mine, hasUndergroundLake, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUndergroundLake Context triple: [Bochnia Royal Salt Mine, hasUndergroundLake, yes]
-
A.
hasMajorLake
Indicates that a geographic region or area contains at least one significant lake within its boundaries.
-
B.
hasCaves
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of caves.
-
C.
hasHydrocarbonLakes
Indicates that the subject possesses or contains lakes composed primarily of liquid hydrocarbons rather than water.
-
D.
hasFreshwaterSprings
Indicates that the subject contains or is associated with natural sources of freshwater emerging from the ground.
-
E.
hasNaturalFeature
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
- 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_69a4933e0f98819097d22766c49b61b8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0924dec8190bbbd2bb244f85211 |
completed | March 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69a49d1f0ccc819088c1527beabcb718 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.