Triple
T505291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | spinning jenny |
E10489
|
entity |
| Predicate | increased |
P7907
|
FINISHED |
| Object | yarn output per worker |
—
|
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: yarn output per worker | Statement: [spinning jenny, increased, yarn output per worker]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: increased Context triple: [spinning jenny, increased, yarn output per worker]
-
A.
increases
chosen
Indicates that one entity causes another entity’s value, level, or intensity to become larger or higher.
-
B.
firstIncreaseIn
Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
-
C.
above
Indicates that one entity is positioned higher than another along a vertical axis, without implying direct contact.
-
D.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
E.
strengthens
Indicates that one entity increases the power, effectiveness, or resilience of another.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14b2acc8190818e8a53eac69c54 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfce7a08190a408bc019de60d5d |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.