Triple
T33732045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors Defense Research Laboratories |
E864297
|
entity |
| Predicate | usedExpertiseFrom |
P148321
|
FINISHED |
| Object | General Motors automotive engineering capabilities |
—
|
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: General Motors automotive engineering capabilities | Statement: [General Motors Defense Research Laboratories, usedExpertiseFrom, General Motors automotive engineering capabilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedExpertiseFrom Context triple: [General Motors Defense Research Laboratories, usedExpertiseFrom, General Motors automotive engineering capabilities]
-
A.
basedOnExpertiseOf
Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
-
B.
usedExperienceIn
chosen
Indicates that an entity applied or leveraged a particular experience or expertise in performing an action or achieving a result.
-
C.
usesKnowledgeOf
Indicates that one entity applies or draws upon the knowledge possessed by another entity in performing an action or achieving a result.
-
D.
skilledIn
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
E.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb1fcda08190a503098914ba09ab |
completed | May 3, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:44 a.m.