Triple
T1684798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R160 subway cars |
E36417
|
entity |
| Predicate | designedToImprove |
P6555
|
FINISHED |
| Object | reliability |
—
|
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: reliability | Statement: [R160 subway cars, designedToImprove, reliability]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToImprove Context triple: [R160 subway cars, designedToImprove, reliability]
-
A.
improvesOn
chosen
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
-
B.
claimsToImprove
Indicates that one entity asserts or promises that it will enhance, benefit, or make another entity better in some way.
-
C.
designedToAvoid
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
-
D.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
E.
designedToEvoke
Indicates that something was intentionally created or arranged in order to elicit a particular reaction, feeling, or response from an audience or observer.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aba644070c81908745b56d981fe273 |
completed | March 7, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69aa61b57a6881909373af287ef24799 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.