Triple

T16089486
Position Surface form Disambiguated ID Type / Status
Subject Line A (Prague Metro) E390322 entity
Predicate interchangeStation P15892 FINISHED
Object Muzeum E390324 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: Muzeum | Statement: [Line A (Prague Metro), interchangeStation, Muzeum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muzeum
Context triple: [Line A (Prague Metro), interchangeStation, Muzeum]
  • A. Muzeum chosen
    Muzeum is a major interchange station in the Prague Metro system, located beneath Wenceslas Square and serving as a key hub for lines A and C.
  • B. The Museum
    The Museum is an art exhibition space within Tokyo’s Bunkamura cultural complex, known for hosting a wide range of domestic and international art shows.
  • C. Museon
    Museon is a science and culture museum in The Hague, Netherlands, known for its interactive exhibits on nature, technology, and world cultures.
  • D. Zepter Museum
    The Zepter Museum is a private art museum in Belgrade, Serbia, showcasing modern and contemporary Serbian and Yugoslav art.
  • E. Museumsufer
    Museumsufer is Frankfurt am Main’s renowned museum district along the River Main, known for its dense concentration of major art, cultural, and historical museums.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1845161908190adca2af94710b2cc completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb934b448190a486401ac6c01065 completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 4:59 a.m.