Triple
T37587133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 170th Street |
E935148
|
entity |
| Predicate | hasDaytimeLocalService |
P112159
|
FINISHED |
| Object | B and D trains |
—
|
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: B and D trains | Statement: [170th Street, hasDaytimeLocalService, B and D trains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDaytimeLocalService Context triple: [170th Street, hasDaytimeLocalService, B and D trains]
-
A.
daytimeLocalService
chosen
Indicates that a service operates or is available during daytime hours in the local time of the relevant location.
-
B.
hasLocalService
Indicates that one entity provides or is associated with a service that operates within the local area or vicinity of another entity.
-
C.
hasLocalityDay
Indicates that a specific day is officially designated or observed within a particular locality or municipality.
-
D.
hasWeekdayService
Indicates that a service operates on weekdays (typically Monday through Friday).
-
E.
hasTimeOfDay
Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
- 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_69f76ece61dc8190a0ab33f8d87d0a7e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.