Triple

T9353547
Position Surface form Disambiguated ID Type / Status
Subject Teatralnaya station E225076 entity
Predicate nativeName P15 FINISHED
Object Театральная E222038 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: Театральная | Statement: [Teatralnaya station, nativeName, Театральная]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Театральная
Context triple: [Teatralnaya station, nativeName, Театральная]
  • A. Teatralnaya chosen
    Teatralnaya is a central Moscow Metro station known for its theatrical-themed decor and proximity to major theaters such as the Bolshoi.
  • B. Teatralna
    Teatralna is a central Kyiv Metro station known for its deep underground design and proximity to major theaters and cultural landmarks in Ukraine’s capital.
  • C. Teatro
    "Teatro" is a 1998 studio album by Willie Nelson known for its atmospheric, stripped-down sound and production by Daniel Lanois.
  • D. Muziektheater
    Muziektheater is a major opera and music theatre venue in Amsterdam, known as the home of Dutch National Opera and Dutch National Ballet.
  • E. Spettacolo
    Spettacolo is a documentary film that explores how residents of a small Tuscan village use an annual community theater production to process their history and contemporary struggles.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9515008190b01fbb43d673de2a completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e44f0a7881908b53a97715f4c6da completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.