Triple
T10735039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RVL |
E253173
|
entity |
| Predicate | hasLevelOfService |
P6199
|
FINISHED |
| Object | no direct one-seat ride to New York Penn Station under normal schedules |
—
|
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: no direct one-seat ride to New York Penn Station under normal schedules | Statement: [RVL, hasLevelOfService, no direct one-seat ride to New York Penn Station under normal schedules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelOfService Context triple: [RVL, hasLevelOfService, no direct one-seat ride to New York Penn Station under normal schedules]
-
A.
hasServiceStandard
Indicates that an entity is associated with, or governed by, a defined service standard specifying expected service levels or quality.
-
B.
levelServed
Indicates that a particular service, function, or resource is provided or made available at a specified level or tier.
-
C.
serviceLevel
chosen
Indicates the degree or quality of service provided or received in the relationship between entities.
-
D.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
-
E.
hasRatingLevel
Indicates that an entity is associated with a particular rating level or score category.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d71021cccc8190ba2d3bbd7d50e2a7 |
completed | April 9, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.