Triple
T38222306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lockstitch sewing machine |
E1012042
|
entity |
| Predicate | historicalPeriodOfImpact |
P4928
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [lockstitch sewing machine, historicalPeriodOfImpact, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalPeriodOfImpact Context triple: [lockstitch sewing machine, historicalPeriodOfImpact, 19th century]
-
A.
historicalImpact
Indicates the influence or lasting effects that an entity, event, or action has had on subsequent history or historical developments.
-
B.
facedHistoricalImpact
Indicates that an entity has experienced or been subjected to a significant influence, consequence, or change resulting from historical events or processes.
-
C.
historicalPeriodOfSignificance
chosen
Indicates the time period during which an entity is considered to have had its most important or influential historical impact.
-
D.
historicPeriodOfDisruption
Indicates a time span in history during which normal conditions were significantly disrupted, affecting the associated entity.
-
E.
hasHistoricalImplicationsFor
Indicates that something influences, shapes, or significantly affects the course, interpretation, or understanding of history for something else.
- 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_6a0212b3462c8190ba3587852cb10655 |
completed | May 11, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_6a020f3138a48190ac630e810939e881 |
completed | May 11, 2026, 5:17 p.m. |
Created at: May 3, 2026, 4:30 p.m.