Triple

T8090182
Position Surface form Disambiguated ID Type / Status
Subject Downtown St. Louis, Missouri E188836 entity
Predicate servedBy P82 FINISHED
Object MetroBus E532178 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: MetroBus | Statement: [Downtown St. Louis, Missouri, servedBy, MetroBus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MetroBus
Context triple: [Downtown St. Louis, Missouri, servedBy, MetroBus]
  • A. MetroBus chosen
    MetroBus is the public bus service operating under the Metro Transit system in the St. Louis metropolitan area, providing local and regional fixed-route transportation.
  • B. Metrobus
    Metrobus is the public bus transit system serving the Washington, D.C. metropolitan area, operated alongside the Metrorail network by the Washington Metropolitan Area Transit Authority (WMATA).
  • C. Metrobus
    Metrobus is Miami-Dade County’s primary public bus system, providing extensive local and regional transit service throughout the Greater Miami area.
  • D. Metrobus
    Metrobus is Istanbul’s bus rapid transit system that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
  • E. Metrobus
    Metrobus is Istanbul’s dedicated bus rapid transit system that runs on exclusive lanes to provide fast, high-capacity public transportation across the city.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb421e30e88190b9699b338b69b81c completed March 31, 2026, 3:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc640a42648190bc1a3072eb338e22 completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:29 p.m.