Triple
T4107691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciechocinek |
E88493
|
entity |
| Predicate | hasBuiltStructureType |
P50464
|
FINISHED |
| Object | sanatorium buildings |
—
|
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: sanatorium buildings | Statement: [Ciechocinek, hasBuiltStructureType, sanatorium buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuiltStructureType Context triple: [Ciechocinek, hasBuiltStructureType, sanatorium buildings]
-
A.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
B.
containsBuildingType
chosen
Indicates that a location or area includes at least one building of the specified type.
-
C.
hasBuildingForm
Indicates that an entity possesses or is characterized by a particular architectural or structural building form.
-
D.
hasBuilt
Indicates that one entity is the creator or constructor of another entity.
-
E.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03d7240c8190a64dcbc669772808 |
completed | March 9, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69af0183eb84819087d7184de28f5514 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:40 p.m.