Triple

T6514087
Position Surface form Disambiguated ID Type / Status
Subject Center City E148208 entity
Predicate contains P35 FINISHED
Object Jefferson Station E29677 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: Jefferson Station | Statement: [Center City, contains, Jefferson Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jefferson Station
Context triple: [Center City, contains, Jefferson Station]
  • A. Jefferson Station chosen
    Jefferson Station is a major regional rail hub in Center City Philadelphia that connects numerous SEPTA commuter lines and provides convenient access to nearby attractions and commercial areas.
  • B. Auburn Station
    Auburn Station is a major commuter rail and bus transit hub in Auburn, Washington, serving regional Sounder trains and local and express bus routes.
  • C. Fair Oaks Station
    Fair Oaks Station was a key Civil War-era railroad stop in Virginia that lent its name to the nearby Battle of Fair Oaks.
  • D. Kimball station
    Kimball station is an elevated Chicago 'L' train station in the Albany Park neighborhood that serves as the northern endpoint of the Brown Line.
  • E. Dorsey station
    Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50f7d048190ad13dcd3f80c2eb4 completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:44 p.m.