Triple
T33972056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Holy Trinity (Santa Maria Novella) |
E871021
|
entity |
| Predicate | hasPerspectiveVanishingPoint |
P195364
|
FINISHED |
| Object | at the base of the cross |
—
|
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: at the base of the cross | Statement: [The Holy Trinity (Santa Maria Novella), hasPerspectiveVanishingPoint, at the base of the cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerspectiveVanishingPoint Context triple: [The Holy Trinity (Santa Maria Novella), hasPerspectiveVanishingPoint, at the base of the cross]
-
A.
hasLinesThroughEachPoint
Indicates that for every point in the relevant space or set, there exists at least one line that passes through that point.
-
B.
hasViewingPointFor
Indicates that one entity serves as a vantage point or location from which another entity can be viewed or observed.
-
C.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
-
D.
hasInclinationToLineOfSight
Indicates that one entity is oriented or directed in such a way that it tends toward having a line of sight to another entity or location.
-
E.
hasPerspectiveEffect
Indicates that one entity visually appears altered in size, shape, or position relative to another due to perspective or viewpoint.
- 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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fdbc5ef46c8190bbcfb9798f4615b7 |
completed | May 8, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69fdbb270338819082ce3f73903e884f |
completed | May 8, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69fdbc5da9988190b95234bce4cc2062 |
completed | May 8, 2026, 10:35 a.m. |
Created at: May 1, 2026, 1:50 a.m.