Triple

T1013264
Position Surface form Disambiguated ID Type / Status
Subject Wilmington/Newark Line E21870 entity
Predicate connectsWith P37 FINISHED
Object Media/Wawa Line E16839 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: Media/Wawa Line | Statement: [Wilmington/Newark Line, connectsWith, Media/Wawa Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media/Wawa Line
Context triple: [Wilmington/Newark Line, connectsWith, Media/Wawa Line]
  • A. Media/Wawa Line chosen
    The Media/Wawa Line is a commuter rail service in the Philadelphia region that connects Center City with suburban communities in Delaware County, Pennsylvania.
  • B. L Line
    The L Line was a light rail route in the Los Angeles Metro Rail system that connected communities across the San Gabriel Valley and Eastside before being integrated into other lines.
  • C. Batong Line
    The Batong Line is a rapid transit line in Beijing that extends the Beijing Subway network eastward into the suburban Tongzhou District.
  • D. Yanfang Line
    Yanfang Line is a suburban rapid transit line of the Beijing Subway serving the southwestern outskirts of the city.
  • E. Metro Line 6
    Metro Line 6 is a line of the Mexico City Metro system that serves the northern part of the city, including the Gustavo A. Madero borough.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7a8b254819089ffed9cb62a6930 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bad654c81909dd59211fafa8b2c completed March 7, 2026, 2:52 p.m.
Created at: March 1, 2026, 7:41 p.m.