Triple
T7859582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Water-Lily Pond |
E182460
|
entity |
| Predicate | painting alignment |
P30523
|
FINISHED |
| Object | landscape orientation |
—
|
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: landscape orientation | Statement: [The Water-Lily Pond, painting alignment, landscape orientation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: painting alignment Context triple: [The Water-Lily Pond, painting alignment, landscape orientation]
-
A.
paintingAlignment
chosen
Indicates the orientation or directional arrangement of a painting relative to a reference frame or surface.
-
B.
hasAlignment
Indicates that one entity shares or exhibits a particular orientation, stance, or compatibility in relation to another entity or standard.
-
C.
requiresAlignment
Indicates that one entity depends on another entity being properly aligned or brought into a specified alignment condition before the relationship or action can occur.
-
D.
basedOnAlignmentOf
Indicates a relationship where one entity is determined, derived, or decided according to how closely it aligns with another entity’s position, orientation, or criteria.
-
E.
alignmentComponents
Indicates that one entity is composed of or associated with specific subparts or elements that together form its overall alignment.
- 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_69ca82887fd48190975896bf38c4596b |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb36bb6ca4819098bc00739e07cfc8 |
completed | March 31, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69cae925ca388190ae4a01fa76e957e8 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:53 p.m.