Triple
T38222273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lockstitch sewing machine |
E1012042
|
entity |
| Predicate | usesThreadConfiguration |
P193813
|
FINISHED |
| Object | upper thread |
—
|
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: upper thread | Statement: [lockstitch sewing machine, usesThreadConfiguration, upper thread]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesThreadConfiguration Context triple: [lockstitch sewing machine, usesThreadConfiguration, upper thread]
-
A.
threadingRequirement
Indicates the conditions or constraints under which an operation must be executed with respect to threads (e.g., which thread or threading model is required).
-
B.
supportsMultithreading
Indicates that the subject is capable of executing multiple threads concurrently within the same process.
-
C.
threadingBehavior
Indicates how execution threads are managed or utilized in performing an operation or maintaining a process.
-
D.
testedConfiguration
Indicates that a particular configuration has been examined or validated through testing in relation to another entity or context.
-
E.
usesQueue
Indicates that one entity employs or relies on a queue mechanism to manage or process items, tasks, or messages.
- 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_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
| PDg | Predicate description generation | batch_69fd553c01488190b9fda48b4a728f04 |
completed | May 8, 2026, 3:15 a.m. |
Created at: May 3, 2026, 4:30 p.m.