Triple

T6620940
Position Surface form Disambiguated ID Type / Status
Subject Evergreen Cemetery E149670 entity
Predicate nearbyLandmark P350 FINISHED
Object Baltimore Pike E248136 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: Baltimore Pike | Statement: [Evergreen Cemetery, nearbyLandmark, Baltimore Pike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baltimore Pike
Context triple: [Evergreen Cemetery, nearbyLandmark, Baltimore Pike]
  • A. Baltimore Pike chosen
    Baltimore Pike is a historic roadway in Pennsylvania that played a significant role during the American Civil War, particularly in the Battle of Gettysburg.
  • B. Reisterstown Road
    Reisterstown Road is a major thoroughfare in Baltimore, Maryland, that serves as a key commercial and commuter route connecting the city to its northwestern suburbs.
  • C. Dane Road
    Dane Road is a tram stop on Greater Manchester’s Metrolink network, located in the Trafford area near Sale.
  • D. B–W Parkway
    B–W Parkway is a major scenic highway in Maryland that connects the cities of Baltimore and Washington, D.C.
  • E. Don Valley Parkway
    Don Valley Parkway is a major controlled-access expressway in Toronto, Ontario, running along the Don River and connecting the city's downtown core with its northeastern suburbs.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7aff44819089da6145e1ef5f76 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c73b2d88190b902b91889eebecd completed March 28, 2026, 9:16 a.m.
Created at: March 27, 2026, 1:58 p.m.