Triple

T14247454
Position Surface form Disambiguated ID Type / Status
Subject Mexikói út station E353172 entity
Predicate partOfLine P6309 FINISHED
Object M1 (Millennium Underground) line E71061 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: M1 (Millennium Underground) line | Statement: [Mexikói út station, partOfLine, M1 (Millennium Underground) line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M1 (Millennium Underground) line
Context triple: [Mexikói út station, partOfLine, M1 (Millennium Underground) line]
  • A. Metro Line 1 (Millennium Underground) chosen
    Metro Line 1, also known as the Millennium Underground, is Budapest’s historic metro line and one of the oldest electrified underground railway lines in continental Europe, renowned for its heritage status and distinctive yellow trains.
  • B. M5 line
    The M5 line is a fully automated, driverless metro line forming part of Istanbul's rapid transit network on the Asian side of the city.
  • C. M4 line
    The M4 line is a rapid transit route of the Istanbul Metro system serving the city’s Asian side.
  • D. M4 line
    The M4 line is a rapid transit route within the Ankara Metro system serving passengers in Turkey’s capital city.
  • E. S1 Line
    The S1 Line is a medium-capacity maglev rapid transit line in the Beijing Subway system serving the western suburbs of 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de629464f88190817b190731bab156 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46794e9c819093312a2c304e554e completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:08 a.m.