Triple
T22818632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28th Street station (IRT Lexington Avenue Line) |
E565166
|
entity |
| Predicate | servedByWeekdays |
P110867
|
FINISHED |
| Object | 4 train |
—
|
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: 4 train | Statement: [28th Street station (IRT Lexington Avenue Line), servedByWeekdays, 4 train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByWeekdays Context triple: [28th Street station (IRT Lexington Avenue Line), servedByWeekdays, 4 train]
-
A.
hasWeekdayService
chosen
Indicates that a service operates on weekdays (typically Monday through Friday).
-
B.
hasLimitedWeekdayService
Indicates that the service operates on weekdays only during restricted or reduced hours or on a limited schedule.
-
C.
weekendService
Indicates that a service, operation, or activity is provided or occurs specifically on weekends.
-
D.
weekdayServicePattern
Indicates a service pattern or schedule that specifically applies on weekdays rather than weekends or holidays.
-
E.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dce762c8190934fb921f942c9fd |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.