Triple

T3597682
Position Surface form Disambiguated ID Type / Status
Subject CTA Pink Line E76177 entity
Predicate hasLoopStation P48776 FINISHED
Object Clark/Lake E102527 NE FINISHED

How this triple was built (3 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 Pink Line, hasLoopStation, Clark/Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark/Lake
Context triple: [CTA Pink Line, hasLoopStation, 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 a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
  • C. Clark
    Clark is the middle name of Herbert Hoover, the 31st president of the United States.
  • D. City of Lakes
    City of Lakes is a popular nickname for Minneapolis, highlighting its many urban lakes and waterfronts.
  • E. City of Lakes
    City of Lakes is a popular nickname for Udaipur, a picturesque city in Rajasthan, India, renowned for its numerous interconnected lakes and romantic waterfront scenery.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLoopStation
Context triple: [CTA Pink Line, hasLoopStation, Clark/Lake]
  • A. isLoop
    Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
  • B. hasBusLoop chosen
    Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
  • C. hasComponentStation
    Indicates that an entity includes or is associated with a specific station as one of its component parts.
  • D. hasNotableStation
    Indicates that an entity possesses or is associated with a station that is considered notable or significant in some context.
  • E. hasGhostStations
    Indicates that a transportation system or network includes disused, closed, or never-opened stations that still physically exist.
  • F. None of above.

Provenance (4 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19c71608190a87c98214321214c completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b40316ebdc819088eb21b7087fb7e7 completed March 13, 2026, 12:29 p.m.
PD Predicate disambiguation batch_69adb83b66708190bb9d2f23d6fd308e completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.