Triple
T9378920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paprika Plains |
E225726
|
entity |
| Predicate | sidePlacement |
P86049
|
FINISHED |
| Object | occupies most of one LP side on Don Juan's Reckless Daughter |
—
|
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: occupies most of one LP side on Don Juan's Reckless Daughter | Statement: [Paprika Plains, sidePlacement, occupies most of one LP side on Don Juan's Reckless Daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sidePlacement Context triple: [Paprika Plains, sidePlacement, occupies most of one LP side on Don Juan's Reckless Daughter]
-
A.
locationSide
Indicates that one entity is positioned on a particular side (e.g., left, right, front, back) relative to another entity or reference point.
-
B.
side
Indicates that one entity is located at, aligned with, or associated with the lateral part or edge of another entity.
-
C.
onSide
chosen
Indicates that one entity is positioned along or adjacent to the side of another entity.
-
D.
stickPlacement
Indicates the spatial arrangement or positioning of a stick relative to other objects or a reference frame.
-
E.
side2
Indicates that an entity is positioned on, associated with, or corresponds to the second side of another entity or structure.
- 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_69ca842d8ee88190aaaa639aa953185d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50bb49bc8190bdad23e120755ac7 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:44 p.m.