Triple

T25718964
Position Surface form Disambiguated ID Type / Status
Subject Sykesville, Maryland E644933 entity
Predicate hasLandmark P105 FINISHED
Object Sykesville B&O Railroad Station
The Sykesville B&O Railroad Station is a historic 19th-century Baltimore & Ohio Railroad depot in Sykesville, Maryland, noted for its preserved architecture and role in the town’s railroading heritage.
E1690507 NE 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: Sykesville B&O Railroad Station | Statement: [Sykesville, Maryland, hasLandmark, Sykesville B&O Railroad Station]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sykesville B&O Railroad Station
Triple: [Sykesville, Maryland, hasLandmark, Sykesville B&O Railroad Station]
Generated description
The Sykesville B&O Railroad Station is a historic 19th-century Baltimore & Ohio Railroad depot in Sykesville, Maryland, noted for its preserved architecture and role in the town’s railroading heritage.

Provenance (5 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_69f5fc6554cc81908b0935fc1b313a60 completed May 2, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10c178e2888190a64beebb575813d9 completed May 22, 2026, 8:50 p.m.
NEDg Description generation batch_6a10c2d613848190a1cf2fbcaca2a1c4 completed May 22, 2026, 8:55 p.m.
NED2 Entity disambiguation (via description) batch_6a10c3428a0481909a49ed3600c675aa completed May 22, 2026, 8:57 p.m.
Created at: April 21, 2026, 9:51 p.m.