Triple
T24050558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wollaston wire |
E595645
|
entity |
| Predicate | manufacturingStep |
P4106
|
FINISHED |
| Object | drawing through progressively smaller dies |
—
|
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: drawing through progressively smaller dies | Statement: [Wollaston wire, manufacturingStep, drawing through progressively smaller dies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturingStep Context triple: [Wollaston wire, manufacturingStep, drawing through progressively smaller dies]
-
A.
stepOfModel
Indicates that something is a specific step or stage within a larger model or process.
-
B.
manufacturingModel
Indicates that one entity serves as the manufacturing model, design, or template according to which another entity is produced or manufactured.
-
C.
hasStepDesign
Indicates that one entity possesses or incorporates a particular step-related design or configuration in relation to another entity.
-
D.
partOfProcess
chosen
Indicates that one event, step, or action occurs as a component or stage within a larger overall process.
-
E.
partOfProduction
Indicates that one entity functions as a component, segment, or phase within the overall process or structure of another production.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9cfb914819091a3378518f9f28d |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:20 p.m.