Triple
T16797944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Mary’s Basilica (Kraków) |
E408281
|
entity |
| Predicate | altarpieceCompletion |
P124669
|
FINISHED |
| Object | late 15th century |
—
|
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: late 15th century | Statement: [St. Mary’s Basilica (Kraków), altarpieceCompletion, late 15th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: altarpieceCompletion Context triple: [St. Mary’s Basilica (Kraków), altarpieceCompletion, late 15th century]
-
A.
hasAltarpieceHeight
Indicates the relationship specifying the height measurement of an altarpiece.
-
B.
hasAltarpieceWidth
Indicates the measured horizontal dimension (width) of an altarpiece.
-
C.
hasMainAltarpiece
Indicates that an entity (typically a religious building or space) possesses a specific artwork or structure serving as its principal altarpiece.
-
D.
hasAltarpiecesInStyle
Indicates that an entity possesses or features altarpieces that are created or designed in a specified artistic style.
-
E.
artistOfMainAltarpiece
Indicates that one entity is the artist who created the main altarpiece associated with another entity (such as a church or chapel).
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2ab08e8819097072a23c4a62392 |
completed | April 18, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69e319d0fdb8819088425bd82431640f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326bac94481908c082117553320f8 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:22 a.m.