Triple

T15853706
Position Surface form Disambiguated ID Type / Status
Subject Red Line southbound E384401 entity
Predicate connectsWith P37 FINISHED
Object Purple Line E18256 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: Purple Line | Statement: [Red Line southbound, connectsWith, Purple Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Purple Line
Context triple: [Red Line southbound, connectsWith, Purple Line]
  • A. Purple Line chosen
    The Purple Line is a rapid transit route in Chicago's 'L' system that primarily serves the city's northern suburbs and connects them to the North Side of Chicago.
  • B. Purple Line
    The Purple Line is a major rapid transit corridor of Bengaluru’s Namma Metro system, connecting key residential and commercial areas across the city.
  • C. Purple Line
    The Purple Line is a light rail route in Houston, Texas, that serves as part of the METRORail system, connecting downtown with southeastern neighborhoods and key destinations.
  • D. Purple Line
    The Purple Line is one of the urban cable car routes in La Paz–El Alto’s Mi Teleférico network, known for its distinctive purple branding and role in the city’s aerial public transit system.
  • E. Purple Line
    The Purple Line is a rapid transit line that forms part of the Baku Metro system in Baku, Azerbaijan.
  • 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_69d86da422088190aac39e32e6c68429 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e14cae96648190884a85f68b6e9fe1 completed April 16, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe69332c81909aa57e64de163cbe completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:50 a.m.