Triple
T31787248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 163rd Street–Amsterdam Avenue |
E811364
|
entity |
| Predicate | servedByDayService |
P27954
|
FINISHED |
| Object | C 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: C train | Statement: [163rd Street–Amsterdam Avenue, servedByDayService, C train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByDayService Context triple: [163rd Street–Amsterdam Avenue, servedByDayService, C train]
-
A.
hasDailyService
chosen
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
D.
servedByTimePeriod
Indicates that a service, event, or activity occurs or is provided during a specified time period.
-
E.
servedByLateEveningServicesTo
Indicates that the subject location is provided with transportation or service connections to the object location specifically during late evening hours.
- 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_69f348e60748819082dcaa7792659803 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
Created at: April 30, 2026, 11:38 p.m.