Triple

T8557527
Position Surface form Disambiguated ID Type / Status
Subject Blue Line (DART) E202609 entity
Predicate hasStation P35 FINISHED
Object Illinois Station E729554 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: Illinois Station | Statement: [Blue Line (DART), hasStation, Illinois Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Illinois Station
Context triple: [Blue Line (DART), hasStation, Illinois Station]
  • A. Madison station
    Madison station is a commuter rail stop in Madison, Connecticut, served by Shore Line East trains along the Northeast Corridor.
  • B. Illinois station chosen
    Illinois station is a public transit stop on Dallas Area Rapid Transit’s Red Line in Dallas, Texas.
  • C. Joliet Station
    Joliet Station is a major commuter rail hub in Joliet, Illinois, serving as a key terminus and transfer point for multiple Chicago-area rail lines.
  • D. Waukegan station
    Waukegan station is a commuter rail station in Waukegan, Illinois, serving as a key stop and northern terminus for many Metra Union Pacific North Line trains between Chicago and the northern suburbs.
  • E. Dearborn Station
    Dearborn Station is a historic former passenger railroad terminal in Chicago, known for its distinctive Romanesque architecture and role as a major gateway to the city in the late 19th and early 20th centuries.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe946d1408190adc7dfb7b2173f9d completed March 31, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89455dcc819088bdf5a2f653da17 completed April 2, 2026, 3:20 p.m.
Created at: March 30, 2026, 6:20 p.m.