Triple
T14712471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strub system |
E345584
|
entity |
| Predicate | tractionMethod |
P19787
|
FINISHED |
| Object | adhesion plus rack-and-pinion |
—
|
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: adhesion plus rack-and-pinion | Statement: [Strub system, tractionMethod, adhesion plus rack-and-pinion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tractionMethod Context triple: [Strub system, tractionMethod, adhesion plus rack-and-pinion]
-
A.
tractionType
chosen
Indicates the type or method of traction applied or used in relation to an entity or system.
-
B.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
C.
agingMethod
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
-
D.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
-
E.
reconstructionMethod
Indicates the technique or process used to reconstruct, restore, or rebuild something from its original or fragmented state.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb982bf248190881e21a8a0861a3f |
completed | April 14, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.