Triple

T7764652
Position Surface form Disambiguated ID Type / Status
Subject Lynx Blue Line E176113 entity
Predicate connectsWith P37 FINISHED
Object CATS bus network E418292 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: CATS bus network | Statement: [Lynx Blue Line, connectsWith, CATS bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CATS bus network
Context triple: [Lynx Blue Line, connectsWith, CATS bus network]
  • A. CATS bus network chosen
    The CATS bus network is the primary public bus transit system serving Charlotte, North Carolina and its surrounding region.
  • B. TheBus network
    TheBus network is the public bus transportation system serving the island of Oʻahu in Honolulu County, Hawaiʻi.
  • C. TMB bus network
    The TMB bus network is Barcelona’s primary system of urban bus routes operated by Transports Metropolitans de Barcelona, providing extensive public transport coverage across the city and surrounding areas.
  • D. WestCAT bus service
    WestCAT bus service is a public transportation system serving Rodeo and surrounding communities in western Contra Costa County, California.
  • E. DART bus network
    The DART bus network is the system of public bus routes operated by Dallas Area Rapid Transit that provides local and regional transportation throughout the Dallas–Fort Worth metropolitan area.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704076ba08190bcde971f7e4448c6 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7de604c81908f503e1553795d38 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:09 p.m.