Triple

T607309
Position Surface form Disambiguated ID Type / Status
Subject Landover, Maryland E12022 entity
Predicate servedBy P82 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: [Landover, Maryland, servedBy, Landover station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landover station
Context triple: [Landover, Maryland, servedBy, 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. Braddock Road station
    Braddock Road station is a Washington Metro rapid transit station serving the Braddock Road area of Alexandria, Virginia.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df34abc8190a578c8c2ab3d28e4 completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8f5d714c819093dfb8c3da35da4f completed March 7, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:35 p.m.