Triple

T1312001
Position Surface form Disambiguated ID Type / Status
Subject Camden Line E28011 entity
Predicate hasStation P35 FINISHED
Object Laurel station
Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
E227004 NE FINISHED

How this triple was built (4 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: [Camden Line, hasStation, Laurel station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laurel station
Context triple: [Camden Line, hasStation, Laurel station]
  • A. 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.
  • B. Logan station
    Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
  • C. Victory Station
    Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
  • D. Shady Grove station
    Shady Grove station is a Washington Metro station in Maryland that serves as the northwestern terminus of the system’s Red Line.
  • E. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Laurel station
Triple: [Camden Line, hasStation, Laurel station]
Generated description
Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laurel station
Target entity description: Laurel station is a commuter rail stop in Laurel, Maryland, served by MARC's Camden Line between Washington, D.C., and Baltimore.
  • A. 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.
  • B. Logan station
    Logan station is an underground rapid transit stop in Philadelphia, Pennsylvania, serving the Logan neighborhood on SEPTA’s Broad Street Line.
  • C. Victory Station
    Victory Station is a Dallas Area Rapid Transit (DART) light rail and commuter rail station located near the American Airlines Center in Dallas, Texas.
  • D. Shady Grove station
    Shady Grove station is a Washington Metro station in Maryland that serves as the northwestern terminus of the system’s Red Line.
  • E. Hewlett station
    Hewlett station is a Long Island Rail Road commuter rail stop serving the Hewlett community in Nassau County, New York.
  • F. None of above. chosen

Provenance (5 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1572b1c8190ab978198c2d655c8 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae0aa0ca0c8190b2d326bf39f750b0 completed March 8, 2026, 11:47 p.m.
NEDg Description generation batch_69ae0d3272c48190a0abe3b0db80fd4c completed March 8, 2026, 11:58 p.m.
NED2 Entity disambiguation (via description) batch_69ae0d996cac8190a983f1ba44e25215 completed March 9, 2026, midnight
Created at: March 1, 2026, 7:55 p.m.