Triple
T34717089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanquhar knitting |
E1000806
|
entity |
| Predicate | knittingMethod |
P181537
|
FINISHED |
| Object | in-the-round knitting |
—
|
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: in-the-round knitting | Statement: [Sanquhar knitting, knittingMethod, in-the-round knitting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: knittingMethod Context triple: [Sanquhar knitting, knittingMethod, in-the-round knitting]
-
A.
typicalWeavingTechnique
Indicates that one entity is the characteristic or commonly used weaving method associated with another entity.
-
B.
weavingDirection
Indicates the orientation or path along which the weaving process is carried out between interlaced elements.
-
C.
numberOfStitches
Indicates the count of individual stitches involved in or required by an item, process, or event.
-
D.
weavingTool
Indicates a tool or instrument that is used to perform the action of weaving.
-
E.
finishingMethod
Indicates the technique or process used to complete or finalize an object, task, or work.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.