Triple
T25718965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykesville, Maryland |
E644933
|
entity |
| Predicate | railroadStationDesigner |
P53751
|
FINISHED |
| Object | E. Francis Baldwin |
—
|
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: E. Francis Baldwin | Statement: [Sykesville, Maryland, railroadStationDesigner, E. Francis Baldwin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railroadStationDesigner Context triple: [Sykesville, Maryland, railroadStationDesigner, E. Francis Baldwin]
-
A.
railwayStationStructure
Indicates the structural or architectural form that characterizes a railway station.
-
B.
railwayStationStyle
Indicates that one entity is designed, built, or decorated in the architectural style characteristic of a particular railway station.
-
C.
railStationManager
Indicates that one entity manages, operates, or is responsible for the administration of a particular railway station.
-
D.
railwayStationFeature
Indicates that a railway station possesses or is characterized by a particular feature, facility, or attribute.
-
E.
railwayStationDesignedBy
chosen
Indicates that a railway station was created or planned by a specific designer, architect, or design entity.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 9:51 p.m.