Triple

T2223445
Position Surface form Disambiguated ID Type / Status
Subject Bolshaya Koltsevaya Line E48192 entity
Predicate hasStation P35 FINISHED
Object Tekstilshchiki E218148 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: Tekstilshchiki | Statement: [Bolshaya Koltsevaya Line, hasStation, Tekstilshchiki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tekstilshchiki
Context triple: [Bolshaya Koltsevaya Line, hasStation, Tekstilshchiki]
  • A. Tekstilshchiki chosen
    Tekstilshchiki is a station on Moscow’s Big Circle Line of the Moscow Metro, serving the Tekstilshchiki district in the city’s southeast.
  • B. Veshti
    Veshti is a traditional South Indian men's garment, typically a long white or off-white cloth wrapped around the waist and worn especially by Tamil people for both daily use and ceremonial occasions.
  • C. Cieszyn lace
    Cieszyn lace is a traditional handmade bobbin lace from the Cieszyn Silesia region, renowned for its intricate patterns and cultural significance in local folk art.
  • D. Textile City
    Textile City is a nickname for Daegu, a major South Korean city historically known as a center of the textile and fashion industries.
  • E. Textile City
    Textile City is a popular nickname for Coimbatore, a major South Indian industrial hub renowned for its extensive textile and garment manufacturing industry.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03d1df88190950c691a4c246bd1 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6562c9448190b53c068c900bf0bf completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:47 p.m.