Triple
T3796254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieliczka and Bochnia Royal Salt Mines |
E89776
|
entity |
| Predicate | undergroundLength |
P15152
|
FINISHED |
| Object | over 300 kilometers of galleries |
—
|
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: over 300 kilometers of galleries | Statement: [Wieliczka and Bochnia Royal Salt Mines, undergroundLength, over 300 kilometers of galleries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergroundLength Context triple: [Wieliczka and Bochnia Royal Salt Mines, undergroundLength, over 300 kilometers of galleries]
-
A.
hasUndergroundDepth
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
B.
undergroundBranch
Indicates that one entity is a branch or extension of another that operates or exists in a hidden, secret, or non-public manner.
-
C.
hasUndergroundSection
chosen
Indicates that an entity includes a portion or segment that is located below ground level.
-
D.
lengthUnderseaSection
Indicates that the specified length pertains to the portion of an object or route that lies beneath the sea surface.
-
E.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
- 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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69aee743c8d08190a9f9c97b836bd703 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:15 p.m.