Triple
T37255913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flintstone family |
E924124
|
entity |
| Predicate | employsTechnologyStyle |
P127752
|
FINISHED |
| Object | foot-powered vehicles |
—
|
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: foot-powered vehicles | Statement: [Flintstone family, employsTechnologyStyle, foot-powered vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employsTechnologyStyle Context triple: [Flintstone family, employsTechnologyStyle, foot-powered vehicles]
-
A.
technologyStyle
chosen
Indicates the manner or approach in which technology is designed, implemented, or utilized in relation to an entity.
-
B.
usesTechnologyInStory
Indicates that an entity incorporates or employs a particular technology within the context of a narrative or story.
-
C.
appliesTechnologyIn
Indicates that an entity makes use of or implements a particular technology within a specific context or activity.
-
D.
hasTechnologyTheme
Indicates that something is associated with, centers on, or prominently features technology as a primary theme or subject.
-
E.
technologyEnabled
Indicates that one entity provides or supports the technological means that allow another entity, process, or capability to function or be carried out.
- 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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.