Triple

T8876183
Position Surface form Disambiguated ID Type / Status
Subject Green Line (SEPTA) E211290 entity
Predicate hasRoute P4374 FINISHED
Object Route 10 E15371 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: Route 10 | Statement: [Green Line (SEPTA), hasRoute, Route 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 10
Context triple: [Green Line (SEPTA), hasRoute, Route 10]
  • A. Route 10 chosen
    Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
  • B. Route 11
    Route 11 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s southwestern neighborhoods.
  • C. Route 11
    Route 11 is a major New Brunswick highway that serves as a key transportation corridor connecting Moncton with communities along the province’s eastern and northern coasts.
  • D. Route 110
    Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
  • E. Route 107
    Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
  • 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_69ca838e78748190934d82db3104f855 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61472cc081909e51b4a35a20ef43 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfaba6f2f481909a30f71e96bc9079 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.