Triple

T9313932
Position Surface form Disambiguated ID Type / Status
Subject Minsk Metro E224070 entity
Predicate firstLineOpened P17696 FINISHED
Object Maskoŭskaja line E791394 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: Maskoŭskaja line | Statement: [Minsk Metro, firstLineOpened, Maskoŭskaja line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maskoŭskaja line
Context triple: [Minsk Metro, firstLineOpened, Maskoŭskaja line]
  • A. Maskoŭskaja line chosen
    The Maskoŭskaja line is the main and oldest metro line of the Minsk Metro system in Belarus, running through central Minsk and serving many of the city’s key districts and landmarks.
  • B. Aŭtazavodskaja line
    The Aŭtazavodskaja line is one of the main lines of the Minsk Metro system, serving key residential and industrial districts of Belarus's capital city.
  • C. Butovskaya Line
    The Butovskaya Line is a light metro line in the Moscow Metro system serving the Butovo district in the city’s south.
  • D. Oleksiivska line
    The Oleksiivska line is one of the main lines of the Kharkiv Metro system in Kharkiv, Ukraine, serving several key residential and commercial districts of the city.
  • E. Zielonalužskaja line
    The Zielonalužskaja line is one of the main rapid transit lines of the Minsk Metro system in Minsk, Belarus.
  • 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_69ca8425f4fc81909c1c586e9a5b7530 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd20b048a081909fd7ec0b6b863063 completed April 1, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d100c0af508190bc2a7eaec78cef95 completed April 4, 2026, 12:14 p.m.
Created at: March 30, 2026, 7:37 p.m.