Triple
T7566188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D Sixth Avenue Express |
E178917
|
entity |
| Predicate | weekendServicePattern |
P5904
|
FINISHED |
| Object | express in Manhattan via IND Sixth Avenue Line |
—
|
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: express in Manhattan via IND Sixth Avenue Line | Statement: [D Sixth Avenue Express, weekendServicePattern, express in Manhattan via IND Sixth Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weekendServicePattern Context triple: [D Sixth Avenue Express, weekendServicePattern, express in Manhattan via IND Sixth Avenue Line]
-
A.
weekendService
chosen
Indicates that a service, operation, or activity is provided or occurs specifically on weekends.
-
B.
weekdayServicePattern
Indicates a service pattern or schedule that specifically applies on weekdays rather than weekends or holidays.
-
C.
offPeakServicePattern
Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
-
D.
weekEndDay
Indicates that a given day falls on a weekend rather than a weekday.
-
E.
rushHourServicePattern
Indicates that a service operates according to a specific pattern or schedule that applies only during rush-hour or peak travel times.
- 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_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fde87c81909795fc713d7378ff |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4dc485c819080da13e3b7f4f08f |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:50 p.m.