Triple

T3638981
Position Surface form Disambiguated ID Type / Status
Subject St. Clair West station E77138 entity
Predicate hasUndergroundPassageways P24311 FINISHED
Object yes LITERAL 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: yes | Statement: [St. Clair West station, hasUndergroundPassageways, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUndergroundPassageways
Context triple: [St. Clair West station, hasUndergroundPassageways, yes]
  • A. hasCaves
    Indicates that one entity possesses, contains, or is characterized by the presence of caves.
  • B. hasUndergroundMine
    Indicates that one entity possesses, controls, or contains an underground mine associated with it.
  • C. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • D. hasUnderpass chosen
    Indicates that one location or structure includes or is connected by an underpass beneath another feature or pathway.
  • E. hasUndergroundSection
    Indicates that an entity includes a portion or segment that is located below ground level.
  • F. None of above.

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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc32a5d448190b24f379b8b2d4f9b completed March 8, 2026, 6:42 p.m.
PD Predicate disambiguation batch_69adb842be7c8190b7dfdb7c906f294c completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:24 p.m.