Triple
T16922731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Thomson |
E410479
|
entity |
| Predicate | usedPrinciple |
P1757
|
FINISHED |
| Object | air pressure cushioning in tyres |
—
|
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: air pressure cushioning in tyres | Statement: [Robert Thomson, usedPrinciple, air pressure cushioning in tyres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedPrinciple Context triple: [Robert Thomson, usedPrinciple, air pressure cushioning in tyres]
-
A.
usesPrinciple
chosen
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
-
B.
implementsPrinciple
Indicates that an entity applies, follows, or puts into practice a specified principle in its design, behavior, or operation.
-
C.
principleClarified
Indicates that a principle has been made clearer or more explicit, typically by explanation, refinement, or elaboration.
-
D.
principle1
Indicates that one entity serves as a primary rule, guideline, or foundational principle governing or guiding another entity.
-
E.
principle6
Indicates that one entity upholds, follows, or is governed by a specific sixth principle in a defined set of principles.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cdf06e8c81908028efef2faa6c6b |
completed | April 18, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:30 a.m.