Triple

T14157033
Position Surface form Disambiguated ID Type / Status
Subject Halászbástya E350838 entity
Predicate offersViewOf P3821 FINISHED
Object Margaret Island E90851 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: Margaret Island | Statement: [Halászbástya, offersViewOf, Margaret Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Island
Context triple: [Halászbástya, offersViewOf, Margaret Island]
  • A. Margaret Island chosen
    Margaret Island is a tranquil, park-filled island in the middle of the Danube River in Budapest, known for its recreational facilities, historic ruins, and scenic promenades.
  • B. Luiseninsel
    Luiseninsel is a small island and landscaped area within Berlin’s Großer Tiergarten park, known for its tranquil paths and natural scenery.
  • C. Humboldt-Insel
    Humboldt-Insel is a small island in Berlin’s Spree River, known for its residential areas and proximity to the city’s central districts.
  • D. Pfaueninsel
    Pfaueninsel is a small, historic island on the Havel River in Berlin, Germany, known for its romantic landscape park, palace, and free-roaming peacocks.
  • E. Maximiliansinsel
    Maximiliansinsel is a small, picturesque island located in the alpine Eibsee lake at the foot of Germany’s Zugspitze mountain.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7ef4d80819098d210503f5d22e9 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:58 a.m.