Triple
T8293328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copper Horse statue |
E193951
|
entity |
| Predicate | mountDepicted |
P57192
|
FINISHED |
| Object | horse |
—
|
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: horse | Statement: [Copper Horse statue, mountDepicted, horse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mountDepicted Context triple: [Copper Horse statue, mountDepicted, horse]
-
A.
mountOf
chosen
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
-
B.
placeOfDepiction
Indicates the location or setting where the depicted subject is shown as being situated in the representation.
-
C.
depictedAbove
Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
-
D.
depictsName
Indicates that something visually represents or portrays the name of an entity.
-
E.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
- 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c9deb50819086ae9c97b03fefc3 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.