Triple

T20179237
Position Surface form Disambiguated ID Type / Status
Subject Chicago–Twin Cities route E492680 entity
Predicate servedByNamedTrain P138983 FINISHED
Object Mainstreeter NE NERFINISHED

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: Mainstreeter | Statement: [Chicago–Twin Cities route, servedByNamedTrain, Mainstreeter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mainstreeter
Context triple: [Chicago–Twin Cities route, servedByNamedTrain, Mainstreeter]
  • A. Mainstreeter chosen
    Mainstreeter was a named passenger train of the Northern Pacific Railway that provided long-distance service across the northern United States.
  • B. Streethouse
    Streethouse is a small village in West Yorkshire, England, situated within the City of Wakefield metropolitan district.
  • C. Shitreet
    Shitreet is an alternative transliteration of the Hebrew surname commonly rendered as Sheetrit, borne by several Israeli public figures.
  • D. Westway
    Westway is an elevated urban motorway in west London that forms a major part of the A40 route into the city.
  • E. Upstreet
    Upstreet is a small village in Kent, England, situated in the rural area between Canterbury and the Isle of Thanet.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ed07c8819091bd9ffda237a91c completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.