Triple

T16442259
Position Surface form Disambiguated ID Type / Status
Subject CTA rail network E399332 entity
Predicate hasStation P35 FINISHED
Object Clark/Lake E102527 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: Clark/Lake | Statement: [CTA rail network, hasStation, Clark/Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark/Lake
Context triple: [CTA rail network, hasStation, Clark/Lake]
  • A. Clark/Lake chosen
    Clark/Lake is a major Chicago 'L' rapid transit station in the Loop that serves multiple CTA lines and functions as a key downtown transfer hub.
  • B. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • C. Clark
    Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • D. Clark
    Clark is a minor character in Bertolt Brecht's satirical play "The Resistible Rise of Arturo Ui," which allegorically depicts the rise of Adolf Hitler through the story of a Chicago gangster.
  • E. Clark
    Clark is a British electronic music producer and composer known for his experimental, genre-blending releases on Warp Records.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba91dc48190bc35db60f63d36d3 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.