Triple

T817901
Position Surface form Disambiguated ID Type / Status
Subject Wellington station E17690 entity
Predicate servedByLine P1293 FINISHED
Object Orange Line E45338 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: Orange Line | Statement: [Wellington station, servedByLine, Orange Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Line
Context triple: [Wellington station, servedByLine, Orange Line]
  • A. Orange Line
    The Orange Line is one of the primary rapid transit routes in the Washington Metro system, running east–west through Washington, D.C. and its Virginia and Maryland suburbs.
  • B. Orange Line chosen
    The Orange Line is a rapid transit route in the Boston metropolitan area that runs north–south through downtown as part of the MBTA subway system.
  • C. Orange Line
    The Orange Line is a rapid transit route in Chicago that connects the city's Loop with Midway International Airport as part of the Chicago "L" system.
  • D. Brown Line
    The Brown Line is a rapid transit route of Chicago's "L" system that primarily serves the city's North Side and northwest neighborhoods.
  • E. Purple Line (CTA)
    The Purple Line (CTA) is a rapid transit route in Chicago primarily serving the northern suburbs and Evanston, with express service to downtown during weekday rush hours.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab63f4a48190a61a14c3c41ed641 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd46422408190911e6eaec5866fe8 completed March 8, 2026, 1:44 a.m.
Created at: March 1, 2026, 7:38 p.m.