Triple
T24787752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cross potent |
E620163
|
entity |
| Predicate | hasLineStyle |
P158726
|
FINISHED |
| Object | usually plain |
—
|
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: usually plain | Statement: [cross potent, hasLineStyle, usually plain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLineStyle Context triple: [cross potent, hasLineStyle, usually plain]
-
A.
hasLines
Indicates that one entity contains, is composed of, or is associated with one or more linear elements or line segments.
-
B.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
C.
hasTrimLineColor
Indicates that an entity has a specific color applied to the trim or outline portion of its visual representation.
-
D.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
E.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 4:46 a.m.