Triple
T16988190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Automatic Warning System |
E412123
|
entity |
| Predicate | indicatesClear |
P72041
|
FINISHED |
| Object | bell sound in cab |
—
|
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: bell sound in cab | Statement: [Automatic Warning System, indicatesClear, bell sound in cab]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatesClear Context triple: [Automatic Warning System, indicatesClear, bell sound in cab]
-
A.
canIndicate
chosen
Indicates that one entity has the potential or capacity to serve as a sign, signal, or evidence of another entity or condition.
-
B.
indicatedFor
Indicates...that one entity (typically a treatment, procedure, or product) is recommended or appropriate for use in relation to another entity (such as a condition, symptom, or patient group).
-
C.
canAlsoIndicate
Indicates that something may additionally signify, represent, or serve as another meaning or function beyond its primary one.
-
D.
clarifiesThat
Indicates that one entity explains or makes another entity more understandable by removing ambiguity or confusion about it.
-
E.
clearanceBelow
Indicates that one entity is positioned at a lower vertical clearance level than another, typically with less space between it and an underlying reference surface.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d27cd2048190800a60ae653e11e1 |
completed | April 18, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.