Triple
T13438622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Mickiewicz Monument (Kraków) |
E320294
|
entity |
| Predicate | reconstructionUsedOriginalFragments |
P109932
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Adam Mickiewicz Monument (Kraków), reconstructionUsedOriginalFragments, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reconstructionUsedOriginalFragments Context triple: [Adam Mickiewicz Monument (Kraków), reconstructionUsedOriginalFragments, true]
-
A.
containsReconstructionOf
Indicates that one entity includes or incorporates a recreated, restored, or reconstructed version of another entity.
-
B.
reconstructionUsedOriginalMaterials
Indicates that a reconstruction was carried out using the same physical materials as those of the original object or structure.
-
C.
involvesReconstructionOf
Indicates that one entity includes, requires, or performs the rebuilding, restoration, or re-creation of another entity or its prior state.
-
D.
numberOfReconstructions
Indicates the count of times an entity has been reconstructed or rebuilt.
-
E.
reconstructedAsPartOf
Indicates that one entity has been rebuilt, restored, or recreated as a component or segment of another, larger whole.
- 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaee5ec488190bd0c1e990dbd2bc2 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03926188190ab3948d1f5d3941f |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:40 p.m.