Triple

T12128857
Position Surface form Disambiguated ID Type / Status
Subject Wawrzyszew metro station E288879 entity
Predicate hasTicketingSystem P3383 FINISHED
Object ZTM Warsaw E262771 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: ZTM Warsaw | Statement: [Wawrzyszew metro station, hasTicketingSystem, ZTM Warsaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZTM Warsaw
Context triple: [Wawrzyszew metro station, hasTicketingSystem, ZTM Warsaw]
  • A. ZTM Warsaw chosen
    ZTM Warsaw is the public transport authority responsible for organizing and managing Warsaw’s integrated network of buses, trams, metro, and suburban rail services.
  • B. SKM Warsaw
    SKM Warsaw is a suburban rapid rail service operating within the Warsaw metropolitan area, providing fast commuter connections that complement the city's broader public transport system.
  • C. KS Toruń
    KS Toruń is a Polish motorcycle speedway club based in Toruń that competes in the country’s top speedway leagues.
  • D. TVP Polonia
    TVP Polonia is an international Polish television channel aimed primarily at the Polish diaspora, broadcasting a selection of programs from Poland’s public broadcaster.
  • E. Ujazdów
    Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.