Triple
T31269579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Town Market Square |
E797344
|
entity |
| Predicate | hasReconstructionModel |
P180289
|
FINISHED |
| Object | based on 18th-century paintings |
—
|
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: based on 18th-century paintings | Statement: [Old Town Market Square, hasReconstructionModel, based on 18th-century paintings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReconstructionModel Context triple: [Old Town Market Square, hasReconstructionModel, based on 18th-century paintings]
-
A.
hasReconstructionFeature
Indicates that something possesses a characteristic, component, or attribute specifically related to reconstruction.
-
B.
hasReconstructionType
Indicates the specific method or category of reconstruction applied to an object, structure, or dataset.
-
C.
hasReconstructionSupportFrom
chosen
Indicates that one entity’s reconstruction (e.g., of an object, structure, or dataset) is backed, justified, or enabled by evidence, resources, or assistance provided by another entity.
-
D.
hasReconstructionTarget
Indicates that something is intended to be reconstructed into, or restored to, a specified target state, form, or object.
-
E.
hasReconstructionLevel
Indicates the degree or stage to which something has been rebuilt, restored, or reconstructed.
- 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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
Created at: April 29, 2026, 9:13 p.m.