Triple
T1956375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magnetic Ride Control |
E42277
|
entity |
| Predicate | adjusts |
P1964
|
FINISHED |
| Object | damping force at each wheel |
—
|
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: damping force at each wheel | Statement: [Magnetic Ride Control, adjusts, damping force at each wheel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjusts Context triple: [Magnetic Ride Control, adjusts, damping force at each wheel]
-
A.
adjustmentType
Indicates the specific kind or category of modification applied to an existing value, state, or configuration within the relationship.
-
B.
notAdjustedFor
Indicates that a value, measure, or result has not been modified or corrected to account for certain factors, conditions, or variables.
-
C.
alignmentChange
Indicates a change in the moral, ethical, or factional stance of an entity relative to its previous alignment.
-
D.
freeFloatAdjustment
Indicates an adjustment made to account for the portion of shares that are freely tradable (free float), typically modifying a value or metric based on the free-float share base.
-
E.
adaptation
chosen
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.