Triple
T24403264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reynolds equestrian statue |
E615236
|
entity |
| Predicate | subjectSide |
P17585
|
FINISHED |
| Object | Union |
—
|
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: Union | Statement: [Reynolds equestrian statue, subjectSide, Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectSide Context triple: [Reynolds equestrian statue, subjectSide, Union]
-
A.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of another entity.
-
B.
onSide
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
C.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
-
D.
targetSide
Indicates the specific side or aspect of a referenced target that is involved in or affected by the relationship or action.
-
E.
supportedSide
chosen
Indicates that one entity backed, favored, or provided assistance to a particular side or party in a conflict, dispute, or competition.
- 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dc1240819085aba9a8c2e07f42 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.