Triple

T6958966
Position Surface form Disambiguated ID Type / Status
Subject Sector 2 E161317 entity
Predicate hasTransport P1298 FINISHED
Object Bucharest Metro lines 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 lines | Statement: [Sector 2, hasTransport, Bucharest Metro lines]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bucharest Metro lines
Context triple: [Sector 2, hasTransport, Bucharest Metro lines]
  • 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. U6 line
    The U6 line is a route of the Frankfurt U-Bahn rapid transit system that connects various districts across the city, including central hubs such as Hauptwache.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daedbb4c8190b46846fb1265b937 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75893a4808190b94a70d8823a01d3 completed March 28, 2026, 4:26 a.m.
Created at: March 27, 2026, 2:29 p.m.