Triple
T38222275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lockstitch sewing machine |
E1012042
|
entity |
| Predicate | stitchFormation |
P45780
|
FINISHED |
| Object | interlocking threads |
—
|
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: interlocking threads | Statement: [lockstitch sewing machine, stitchFormation, interlocking threads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stitchFormation Context triple: [lockstitch sewing machine, stitchFormation, interlocking threads]
-
A.
stitchStructure
Indicates a relationship where one entity joins or binds parts of another entity together in a continuous, stitch-like structural manner.
-
B.
stitchTypeUsed
chosen
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
C.
stitchWidth
Indicates the width or spacing of individual stitches in a stitching or sewing process.
-
D.
numberOfStitches
Indicates the count of individual stitches involved in or required by an item, process, or event.
-
E.
stitchQuality
Indicates the degree to which stitching between components is executed accurately, consistently, and without defects.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.