Triple

T21252747
Position Surface form Disambiguated ID Type / Status
Subject Grbavica E523785 entity
Predicate separatedFrom P243 FINISHED
Object Marijin Dvor NE NERFINISHED

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: Marijin Dvor | Statement: [Grbavica, separatedFrom, Marijin Dvor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marijin Dvor
Context triple: [Grbavica, separatedFrom, Marijin Dvor]
  • A. Marijin Dvor chosen
    Marijin Dvor is a central neighborhood in Sarajevo, Bosnia and Herzegovina, known for its historic architecture and role as an important administrative and commercial hub of the city.
  • B. Beli Dvor
    Beli Dvor is a royal palace in Belgrade, Serbia, historically used as a residence by members of the Yugoslav and later Serbian leadership.
  • C. Dvorec
    Dvorec is a small village in the Plzeň Region of the Czech Republic that forms an administrative part of the town of Nepomuk.
  • D. Melinka
    Melinka is a small coastal town in southern Chile that serves as the main settlement and administrative center of the remote Guaitecas Archipelago.
  • E. Ledovy Dvorets
    Ledovy Dvorets is a major indoor ice arena and multi-purpose sports and entertainment venue in Saint Petersburg, Russia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359f5b408190b951adddba83c97a completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:57 p.m.