Triple
T9511613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenmont station |
E229409
|
entity |
| Predicate | isTerminusStation |
P15150
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Glenmont station, isTerminusStation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTerminusStation Context triple: [Glenmont station, isTerminusStation, yes]
-
A.
railroadTerminusFor
Indicates that one location serves as the end point or final station of a particular railroad line for another location.
-
B.
terminusStation
chosen
Indicates that a station serves as the final endpoint or terminal stop for a given route or service.
-
C.
railLineTerminus
Indicates that a rail line ends or terminates at the specified location or station.
-
D.
isOnlyRailStationServing
Indicates that one rail station is the sole station providing service to a particular area, route, or entity, with no alternative rail stations serving it.
-
E.
isPublicTransportStation
Indicates that a location functions as a station or stop used by public transportation services such as buses, trains, trams, or subways.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98699b788190b1a475e1b1883584 |
completed | April 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cca567ca448190bf4bcce8ce7dd54f |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:58 p.m.