Triple

T3593533
Position Surface form Disambiguated ID Type / Status
Subject CTA Green Line E76081 entity
Predicate directionalService P13415 FINISHED
Object east–west on Lake Street 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: east–west on Lake Street | Statement: [CTA Green Line, directionalService, east–west on Lake Street]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: directionalService
Context triple: [CTA Green Line, directionalService, east–west on Lake Street]
  • A. canProvideDirections
    Indicates that one entity is able to give another entity guidance or instructions on how to reach a particular location or navigate a route.
  • B. serviceDirection chosen
    Indicates the direction or orientation in which a service is provided or operates relative to involved entities.
  • C. servedByDirection
    Indicates that something (such as a route, service, or facility) is provided or accessed in a specific directional orientation (e.g., northbound, inbound).
  • D. transportDirection
    Indicates the directional flow or route along which something is transported from an origin toward a destination.
  • E. directionalDesignation
    Indicates a relationship where one entity is assigned or labeled with a specific directional orientation relative to another entity or reference frame.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc15bbbcc81908d6cf95f8e70c6ca completed March 8, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69adb83b66708190bb9d2f23d6fd308e completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.