Triple
T685527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bochnia Royal Salt Mine |
E13275
|
entity |
| Predicate | lengthOfCorridors |
P17536
|
FINISHED |
| Object | several kilometres |
—
|
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: several kilometres | Statement: [Bochnia Royal Salt Mine, lengthOfCorridors, several kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lengthOfCorridors Context triple: [Bochnia Royal Salt Mine, lengthOfCorridors, several kilometres]
-
A.
numberOfCorridors
Indicates the total count of corridors associated with or contained within a given entity or structure.
-
B.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
C.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
D.
floorCount
Indicates the number of floors or levels that a building or structure has.
-
E.
numberOfFloors
Indicates the total count of distinct floor levels that a building or structure has.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.