Triple
T37617905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bedrock Quarry |
E935978
|
entity |
| Predicate | usesTechnologyParodyOf |
P193512
|
FINISHED |
| Object | modern industrial machinery |
—
|
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: modern industrial machinery | Statement: [Bedrock Quarry, usesTechnologyParodyOf, modern industrial machinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTechnologyParodyOf Context triple: [Bedrock Quarry, usesTechnologyParodyOf, modern industrial machinery]
-
A.
usesTechnologyInStory
Indicates that an entity incorporates or employs a particular technology within the context of a narrative or story.
-
B.
technologyUsedIn
Indicates that a particular technology is employed or applied within a specific process, product, context, or domain.
-
C.
technologyUsedBy
Indicates that a particular technology is employed or utilized by a specified entity.
-
D.
technologyCounterpartOf
Indicates a relationship where one technology serves as an equivalent, alternative, or corresponding counterpart to another technology.
-
E.
technologyUsedFor
Indicates that a particular technology is employed or applied to accomplish, support, or enable a specific purpose, task, or function.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69fd485e0c20819099756b4fe39ac326 |
completed | May 8, 2026, 2:20 a.m. |
Created at: May 3, 2026, 4:18 p.m.