Triple
T15826168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of St James, Levoča |
E383747
|
entity |
| Predicate | mainAltarMaterial |
P119789
|
FINISHED |
| Object | wood |
—
|
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: wood | Statement: [Basilica of St James, Levoča, mainAltarMaterial, wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAltarMaterial Context triple: [Basilica of St James, Levoča, mainAltarMaterial, wood]
-
A.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
B.
templeMaterial
Indicates that a temple is constructed from, or primarily composed of, a specified material.
-
C.
hasAltarType
Indicates that an entity is associated with or characterized by a specific type or category of altar.
-
D.
hasAltarLocation
Indicates that an altar is situated at or associated with a specific location.
-
E.
centralFigureMaterial
Indicates that the material specified is the primary substance from which the central figure in a composition or object is made.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e602e5481908baa71c3d9b2008f |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007647f908190adb178c68c7bb7cf |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:49 a.m.