Triple
T10541064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archibald Cochrane, 9th Earl of Dundonald |
E248694
|
entity |
| Predicate | hasInnovationType |
P94439
|
FINISHED |
| Object | industrial process innovation |
—
|
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: industrial process innovation | Statement: [Archibald Cochrane, 9th Earl of Dundonald, hasInnovationType, industrial process innovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInnovationType Context triple: [Archibald Cochrane, 9th Earl of Dundonald, hasInnovationType, industrial process innovation]
-
A.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
B.
inventionType
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
C.
hasNotableInnovation
Indicates that an entity is associated with a significant, distinguishing innovation or breakthrough.
-
D.
hasInventionProperty
Indicates that an entity possesses a specific characteristic, attribute, or quality related to an invention.
-
E.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a5918648190b16c2d1bc1bf015f |
completed | April 7, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69d4fb9729288190a0149f127acd7ae3 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe06d4a48190b1a45dd1d4e16df0 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:32 p.m.