Triple
T12466280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph F. Engelberger Robotics Award |
E297932
|
entity |
| Predicate | typicalAwardCategories |
P26432
|
FINISHED |
| Object | technology |
—
|
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: technology | Statement: [Joseph F. Engelberger Robotics Award, typicalAwardCategories, technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardCategories Context triple: [Joseph F. Engelberger Robotics Award, typicalAwardCategories, technology]
-
A.
typicalAwardType
chosen
Indicates the usual or most common type or category of award associated with a given entity or context.
-
B.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
C.
typicalAwardComponents
Indicates the standard elements or parts that commonly make up a particular award.
-
D.
notableAwardCategory
Indicates that an award is recognized as a significant or distinguished category within a broader system of awards.
-
E.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
- 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_69d6ada270808190b1a2b2e7b02bb426 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e626dbc8190ac7dcdb542ba9b0c |
completed | April 10, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69d94d3f701c81909dd0e00251ac8553 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:56 p.m.