Triple
T2063938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Column of Marcus Aurelius |
E45853
|
entity |
| Predicate | hasReliefSubject |
P11199
|
FINISHED |
| Object | Roman military campaigns |
—
|
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: Roman military campaigns | Statement: [Column of Marcus Aurelius, hasReliefSubject, Roman military campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefSubject Context triple: [Column of Marcus Aurelius, hasReliefSubject, Roman military campaigns]
-
A.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
-
B.
hasReliefOf
chosen
Indicates that one entity features, bears, or is adorned with a sculpted or carved relief representation of another entity.
-
C.
hasReliefFeature
Indicates that one entity possesses or includes a specific relief-related physical feature or characteristic.
-
D.
relievedBy
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
-
E.
reliefGranted
Indicates that a requested form of assistance, exemption, or remedy has been officially approved and provided.
- 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.