Triple

T14930268
Position Surface form Disambiguated ID Type / Status
Subject Yorckstraße E372241 entity
Predicate near P350 FINISHED
Object Viktoriapark E1088068 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: Viktoriapark | Statement: [Yorckstraße, near, Viktoriapark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viktoriapark
Context triple: [Yorckstraße, near, Viktoriapark]
  • A. Viktoriapark chosen
    Viktoriapark is a public park in Berlin known for its landscaped green spaces, artificial waterfall, and prominent National Monument on Kreuzberg hill.
  • B. Petrovsky Park
    Petrovsky Park is a historic green space in Moscow known for its 19th-century Petrovsky Palace and proximity to major sports and cultural venues.
  • C. Shcherbakov Park
    Shcherbakov Park is a large recreational and cultural park in Donetsk, Ukraine, known for its scenic lakes, amusement attractions, and role as a central leisure spot for residents and visitors.
  • D. Sofiivka Park
    Sofiivka Park is a renowned landscaped arboretum and romantic-era botanical garden in central Ukraine, famous for its picturesque ponds, sculptures, and classical-style architecture.
  • E. Vorontsovsky Park
    Vorontsovsky Park is a historic landscaped public park in Moscow known for its picturesque ponds, old manor estate, and popular recreational areas.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded64550dc8190ba44120df00ba498 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8ac6d08190809045a6d00a3d47 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:36 a.m.