Triple
T31256050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canarsie Yard |
E796972
|
entity |
| Predicate | isTerminalYardFor |
P99236
|
FINISHED |
| Object | L train |
—
|
NE NERFINISHED |
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: L train | Statement: [Canarsie Yard, isTerminalYardFor, L train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTerminalYardFor Context triple: [Canarsie Yard, isTerminalYardFor, L train]
-
A.
hasRailYard
Indicates that one entity possesses, contains, or includes a rail yard as part of its facilities or infrastructure.
-
B.
isTerminalForSomeTrains
chosen
Indicates that a station or stop serves as the final destination (terminus) for at least one train route.
-
C.
hasCargoTerminal
Indicates that a location or facility includes or is equipped with a cargo terminal for handling freight.
-
D.
hasRailFacility
Indicates that an entity possesses or is served by a rail-related facility, such as a railway station, terminal, or yard.
-
E.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
- 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_69f224dd5fdc81908a4cd24917b67668 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:12 p.m.