Triple

T8878494
Position Surface form Disambiguated ID Type / Status
Subject Worth, Illinois E211348 entity
Predicate hasStation P35 FINISHED
Object Worth station E596570 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: Worth station | Statement: [Worth, Illinois, hasStation, Worth station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worth station
Context triple: [Worth, Illinois, hasStation, Worth station]
  • A. Worth station chosen
    Worth station is a commuter rail stop in Worth, Illinois, served by Metra's SouthWest Service line connecting the southwest suburbs to downtown Chicago.
  • B. Elliot station
    Elliot station is a light rail stop on the MBTA Green Line D branch serving the Upper Falls area of Newton, Massachusetts.
  • C. Catedral station
    Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
  • D. 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.
  • E. Bartlett station
    Bartlett station is a commuter rail stop in Bartlett, Illinois, serving passengers on Metra's Milwaukee District/West Line in the Chicago metropolitan area.
  • 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_69cc614ad1908190a77808fcf7f3e531 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabb87c3481908cf11f2e246f42eb completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:52 p.m.