Triple
T2063954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Column of Marcus Aurelius |
E45853
|
entity |
| Predicate | currentTopSculptureInstallationYear |
P33014
|
FINISHED |
| Object | 1589 |
—
|
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: 1589 | Statement: [Column of Marcus Aurelius, currentTopSculptureInstallationYear, 1589]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentTopSculptureInstallationYear Context triple: [Column of Marcus Aurelius, currentTopSculptureInstallationYear, 1589]
-
A.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
B.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
C.
yearExhibited
chosen
Indicates the specific year in which an entity (such as an artwork, object, or performance) was publicly exhibited or displayed.
-
D.
numberOfSculptures
Indicates the quantity of sculptures associated with a given entity or context.
-
E.
hasArtInstallation
Indicates that an entity features or contains an art installation as part of its space or composition.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d3a92081909416c1d087876e99 |
completed | March 7, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69abb7aee9b48190999620176e3a6ee2 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.