Triple

T6149173
Position Surface form Disambiguated ID Type / Status
Subject SL1 E137153 entity
Predicate hasStop P17789 FINISHED
Object Courthouse station E460000 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: Courthouse station | Statement: [SL1, hasStop, Courthouse station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Courthouse station
Context triple: [SL1, hasStop, Courthouse station]
  • A. Courthouse station chosen
    Courthouse station is a light rail station in downtown Salt Lake City, Utah, serving the Utah Transit Authority’s TRAX system.
  • B. Court House station
    Court House station is a Washington Metro rapid transit station serving the Courthouse neighborhood in Arlington, Virginia.
  • C. Briarwood station
    Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
  • D. Edgewood station
    Edgewood station is a commuter rail stop in Edgewood, Maryland, served by MARC’s Penn Line between Baltimore and Perryville.
  • E. Cecil B. Moore station
    Cecil B. Moore station is a subway stop on Philadelphia’s Broad Street Line serving the Temple University area and surrounding North Philadelphia neighborhoods.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce21820819096be9159d6b70a5f completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20d67cac0819088802d5a21654fe8 completed March 24, 2026, 4:04 a.m.
Created at: March 22, 2026, 4:16 p.m.