Triple

T3866975
Position Surface form Disambiguated ID Type / Status
Subject Branch Avenue station E91883 entity
Predicate servesCommunity P82 FINISHED
Object Suitland E60953 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: Suitland | Statement: [Branch Avenue station, servesCommunity, Suitland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suitland
Context triple: [Branch Avenue station, servesCommunity, Suitland]
  • A. Suitland, Maryland chosen
    Suitland, Maryland is a suburban community in the Washington, D.C. metropolitan area known for its residential neighborhoods and proximity to federal government facilities.
  • B. Calvert
    Calvert is a given name most notably borne by Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
  • C. New Windsor
    New Windsor is a historic town in Berkshire, England, that developed around Windsor Castle and later became known simply as Windsor.
  • D. Litchfield
    Litchfield is an English surname historically associated with several notable figures, including members of Charles Darwin’s family.
  • E. Lenola
    Lenola is a small Italian town in the Lazio region, known for its historic hilltop setting and scenic views over the surrounding countryside.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3cc1a88190924125a86f72fd5b completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560fd8808190a63143266f344e8d completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:19 p.m.