Triple
T17444541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robots and Jobs: Evidence from US Labor Markets |
E424745
|
entity |
| Predicate | typeOfAutomationStudied |
P69254
|
FINISHED |
| Object | industrial robots in manufacturing |
—
|
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 robots in manufacturing | Statement: [Robots and Jobs: Evidence from US Labor Markets, typeOfAutomationStudied, industrial robots in manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAutomationStudied Context triple: [Robots and Jobs: Evidence from US Labor Markets, typeOfAutomationStudied, industrial robots in manufacturing]
-
A.
automatedIn
Indicates that an action, process, or operation is performed automatically within or by a specified system, context, or environment.
-
B.
typeOfAutonomyInstrument
Indicates that one entity is an instrument or mechanism that provides or embodies a specific type of autonomy for another entity.
-
C.
studyType
Indicates the kind or category of study or research methodology associated with an entity or activity.
-
D.
hasTypeOfExperiment
Indicates that an experiment is associated with or classified under a specific type or category of experiment.
-
E.
typeOfResourceStudied
chosen
Indicates that a particular resource is the subject or focus of study or analysis in a given context.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.