Triple
T2591459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lavender Mist (Number 1, 1950) |
E58129
|
entity |
| Predicate | surfaceOrientation |
P40589
|
FINISHED |
| Object | horizontal |
—
|
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: horizontal | Statement: [Lavender Mist (Number 1, 1950), surfaceOrientation, horizontal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceOrientation Context triple: [Lavender Mist (Number 1, 1950), surfaceOrientation, horizontal]
-
A.
sessionOrientation
Indicates the directional or spatial alignment relationship established between entities within a session or interaction context.
-
B.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
C.
surfaceAlignmentFor
Indicates that one entity’s surface is oriented or configured to align properly with the surface of another entity.
-
D.
surfaceBehavior
Indicates how an entity behaves or interacts specifically at or on its surface.
-
E.
bodySideOrientation
Indicates the spatial relationship of an entity with respect to the left, right, or bilateral side of a body.
- F. None of above. chosen
Provenance (4 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd425851c819088db89713c07056f |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd37ef248819090ab6b86b67e355f |
completed | March 7, 2026, 7:27 a.m. |
Created at: March 6, 2026, 9:49 p.m.