Triple
T24591728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singer 301 |
E608555
|
entity |
| Predicate | stitchWidth |
P156473
|
FINISHED |
| Object | straight only |
—
|
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: straight only | Statement: [Singer 301, stitchWidth, straight only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stitchWidth Context triple: [Singer 301, stitchWidth, straight only]
-
A.
stitchTypeUsed
Indicates that a particular type of stitch is employed in performing or constructing the referenced action or object.
-
B.
stitchStructure
Indicates a relationship where one entity joins or binds parts of another entity together in a continuous, stitch-like structural manner.
-
C.
carpetStripeWidth
Indicates the width measurement of a stripe pattern on a carpet in the described context.
-
D.
hasStripeWidth
Indicates that one entity possesses stripes characterized by a specified width.
-
E.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
- 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_69e2c4cf54248190af7b0c2d9ade9830 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9db3a9481908c7a59281e2ca994 |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:30 a.m.