Triple
T18780649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solex Agitator |
E459244
|
entity |
| Predicate | inspiredByRealWorldIssues |
P32510
|
FINISHED |
| Object | 1970s energy crisis |
—
|
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: 1970s energy crisis | Statement: [Solex Agitator, inspiredByRealWorldIssues, 1970s energy crisis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByRealWorldIssues Context triple: [Solex Agitator, inspiredByRealWorldIssues, 1970s energy crisis]
-
A.
socialConcern
Indicates a relationship where an entity is concerned about, attentive to, or actively engaged with social issues, problems, or well-being.
-
B.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
C.
influencedByRealWorldConcept
chosen
Indicates that something is shaped, inspired, or determined by an existing concept, phenomenon, or principle from the real world.
-
D.
portraysSocialIssue
Indicates that an entity depicts, represents, or brings attention to a social problem or concern within its content or context.
-
E.
inspiredRealWorldProduct
Indicates that one entity served as the creative or conceptual basis that led to the development of a real-world product represented by the other 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ee89481908b647802961e4519 |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.