Triple

T15913540
Position Surface form Disambiguated ID Type / Status
Subject Universitate metro station E385907 entity
Predicate network P2637 FINISHED
Object Bucharest Metro E160604 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: Bucharest Metro | Statement: [Universitate metro station, network, Bucharest Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucharest Metro
Context triple: [Universitate metro station, network, Bucharest Metro]
  • A. Bucharest Metro chosen
    The Bucharest Metro is the rapid transit system serving Romania’s capital city, providing high-capacity urban rail transport across Bucharest.
  • B. Bucharest tram network
    The Bucharest tram network is an extensive urban light rail system that complements the city’s metro and bus services by providing surface-level public transportation across Romania’s capital.
  • C. Sofia Metro
    Sofia Metro is the rapid transit system serving Bulgaria’s capital city, providing high-capacity urban rail transport across Sofia and its metropolitan area.
  • D. Budapest Metro
    The Budapest Metro is the rapid transit system serving Hungary’s capital, notable for including Line 1, one of the oldest electrified underground railway lines in continental Europe.
  • E. Turin Metro
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15661046c819097a53de2a3e0443b completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe6e844481908227ec9e46ac9f4d completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:52 a.m.