Triple
T24693538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Burns Mausoleum |
E611511
|
entity |
| Predicate | hasReliefSculptureBy |
P107227
|
FINISHED |
| Object | Peter Turnerelli |
—
|
NE NERFINISHED |
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: Peter Turnerelli | Statement: [Robert Burns Mausoleum, hasReliefSculptureBy, Peter Turnerelli]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReliefSculptureBy Context triple: [Robert Burns Mausoleum, hasReliefSculptureBy, Peter Turnerelli]
-
A.
sculptorOfRelief
chosen
Indicates that one entity is the sculptor who created or carved a particular relief artwork.
-
B.
hasSculpturalFigures
Indicates that something includes or features three-dimensional sculpted figures as part of its form or decoration.
-
C.
hasSculptureSubject
Indicates that a sculpture depicts, represents, or is thematically focused on a particular subject.
-
D.
hasSculptureType
Indicates that an entity is associated with a sculpture and specifies the type or category of that sculpture.
-
E.
hasRockReliefSite
Indicates a relationship where a subject is associated with, contains, or is the location of a rock relief site.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 18, 2026, 3:21 a.m.