Triple
T38222313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lockstitch sewing machine |
E1012042
|
entity |
| Predicate | typicalStitchLocation |
P204548
|
FINISHED |
| Object | seam construction |
—
|
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: seam construction | Statement: [lockstitch sewing machine, typicalStitchLocation, seam construction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStitchLocation Context triple: [lockstitch sewing machine, typicalStitchLocation, seam construction]
-
A.
stitchTypeUsed
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
B.
numberOfStitches
Indicates the count of individual stitches involved in or required by an item, process, or event.
-
C.
stitchWidth
Indicates the width or spacing of individual stitches in a stitching or sewing process.
-
D.
stitchQuality
Indicates the degree to which stitching between components is executed accurately, consistently, and without defects.
-
E.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:30 p.m.