Triple

T3817700
Position Surface form Disambiguated ID Type / Status
Subject Prague Metro E84295 entity
Predicate hasInterchangeStation P2413 FINISHED
Object Můstek E390325 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: Můstek | Statement: [Prague Metro, hasInterchangeStation, Můstek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Můstek
Context triple: [Prague Metro, hasInterchangeStation, Můstek]
  • A. Můstek chosen
    Můstek is a major interchange station in the center of Prague where the city’s metro lines A and B intersect beneath Wenceslas Square.
  • B. Bastei Bridge
    Bastei Bridge is a famous stone bridge and scenic lookout spanning dramatic sandstone rock formations above the Elbe River in Saxon Switzerland, Germany.
  • C. Grand Bridge
    The Grand Bridge is an imposing ornamental stone bridge and landscape feature within the grounds of Blenheim Palace in Oxfordshire, England, designed to enhance the estate’s grand Baroque setting.
  • D. Liteyny Bridge
    Liteyny Bridge is a major steel bascule bridge in Saint Petersburg, Russia, known for carrying traffic across the Neva River and for its role in the city's historic urban landscape.
  • E. Usk Bridge
    Usk Bridge is a historic stone arch bridge spanning the River Usk in the town of Usk, Monmouthshire, Wales.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea5e41ec81908ed7e1ccc2713622 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503f549b0819088b64ddb3f38238f completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:17 p.m.