Triple

T3582154
Position Surface form Disambiguated ID Type / Status
Subject Rosslyn station E75823 entity
Predicate servesNeighborhood P82 FINISHED
Object Rosslyn E815 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: Rosslyn | Statement: [Rosslyn station, servesNeighborhood, Rosslyn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rosslyn
Context triple: [Rosslyn station, servesNeighborhood, Rosslyn]
  • A. Rosslyn chosen
    Rosslyn is a major urban business district in Arlington, Virginia, known for its high-rise skyline, corporate offices, and views across the Potomac River to Washington, D.C.
  • B. Erskine
    Erskine is a masculine given name of Scottish origin, traditionally used as both a first name and a surname.
  • C. Corstorphine
    Corstorphine is a suburban area of Edinburgh, Scotland, known for its residential character, historic village core, and proximity to Edinburgh Zoo.
  • D. Rosebank
    Rosebank is a residential neighbourhood in the city of Pickering, Ontario, known for its suburban character and proximity to Lake Ontario.
  • E. Rosebank
    Rosebank is a residential neighborhood on the eastern shore of Staten Island in New York City.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc102cb2881908fa4dc1bf6fa5961 completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402f36b2481909d4716e72a696e0d completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:21 p.m.