Triple

T1136236
Position Surface form Disambiguated ID Type / Status
Subject Orange Line (Washington Metro) E23145 entity
Predicate hasStation P35 FINISHED
Object Landover station E140225 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: Landover station | Statement: [Orange Line (Washington Metro), hasStation, Landover station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landover station
Context triple: [Orange Line (Washington Metro), hasStation, Landover station]
  • A. Landover station chosen
    Landover station is a Washington Metro rapid transit stop in Landover, Maryland, serving commuters on the system’s eastern side.
  • B. Hunt Valley station
    Hunt Valley station is a light rail transit station in Hunt Valley, Maryland, serving as the northern endpoint of the Baltimore Light RailLink system.
  • C. Willow Grove station
    Willow Grove station is a SEPTA Regional Rail stop in Willow Grove, Pennsylvania, serving commuters on the Warminster Line to and from central Philadelphia.
  • D. Arlington station
    Arlington station is an underground light rail stop on Boston's MBTA Green Line located near the Back Bay and Boston Public Garden.
  • E. North Bethesda station
    North Bethesda station is a Washington Metro Red Line station in North Bethesda, Maryland, serving as a key transit hub for commuters in the area.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2300c481908c60fbb1188c37c5 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69adc97fe2808190b421329ed239af6f completed March 8, 2026, 7:09 p.m.
Created at: March 1, 2026, 7:44 p.m.