Triple

T33522645
Position Surface form Disambiguated ID Type / Status
Subject Cortex station E858547 entity
Predicate publicTransitNetwork P1288 FINISHED
Object Metro Transit St. Louis NE NERFINISHED

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: Metro Transit St. Louis | Statement: [Cortex station, publicTransitNetwork, Metro Transit St. Louis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicTransitNetwork
Context triple: [Cortex station, publicTransitNetwork, Metro Transit St. Louis]
  • A. publicTransit chosen
    Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
  • B. transportNetwork
    Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
  • C. publicTransitMode
    Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
  • D. publicTransportNetworkType
    Indicates the type or category of public transportation network associated with or used by an entity.
  • E. transportNetworkPartOf
    Indicates that one transport network is a component or subdivision of a larger, encompassing transport network.
  • 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_69f349781c6c819082c516b260efe7e2 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69ff109695008190a22b47ef8be2e3f9 completed May 9, 2026, 10:46 a.m.
PD Predicate disambiguation batch_69ff0f243ea88190970d2c520b55c816 completed May 9, 2026, 10:40 a.m.
Created at: May 1, 2026, 1:39 a.m.