Triple

T17106012
Position Surface form Disambiguated ID Type / Status
Subject Laurel, Maryland E415100 entity
Predicate hasRailStation P726 FINISHED
Object Laurel station E227004 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: Laurel station | Statement: [Laurel, Maryland, hasRailStation, Laurel station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurel station
Context triple: [Laurel, Maryland, hasRailStation, Laurel station]
  • A. Laurel station chosen
    Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
  • B. Lawrence West station
    Lawrence West station is a subway station on Toronto's Line 1 Yonge–University, serving the Lawrence Heights and surrounding North York area.
  • C. Upland station
    Upland station is a commuter rail stop in Upland, California, served by Metrolink trains on the San Bernardino Line.
  • D. Cedars station
    Cedars station is a light rail stop on Dallas Area Rapid Transit’s Green Line serving the Cedars neighborhood just south of downtown Dallas, Texas.
  • E. Pattison Station
    Pattison Station is the former name of NRG Station, a subway stop on Philadelphia's Broad Street Line serving the South Philadelphia Sports Complex.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc2750b481908de18e8cb8f2195c completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a014143edb081909509c5435d392dd0 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:35 a.m.