Triple

T22682601
Position Surface form Disambiguated ID Type / Status
Subject Belgrade Observatory E560820 entity
Predicate locatedIn P40 FINISHED
Object Zvezdara 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: Zvezdara | Statement: [Belgrade Observatory, locatedIn, Zvezdara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zvezdara
Context triple: [Belgrade Observatory, locatedIn, Zvezdara]
  • A. Zvezdara chosen
    Zvezdara is a residential and hilly municipality of Belgrade known for its large forested area and the Belgrade Observatory.
  • B. Filmski Grad
    Filmski Grad is a Belgrade neighborhood known as a historic film-production hub and residential area within the Čukarica municipality.
  • C. Sava Centar
    Sava Centar is a major congress, cultural, and business events venue in Belgrade, known for hosting international conferences, concerts, and exhibitions.
  • D. Nova Varoš
    Nova Varoš is a small mountainous town in southwestern Serbia known for its proximity to the Zlatarsko and Uvacsko lakes and the Uvac Special Nature Reserve.
  • E. Stari Grad
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1786113a881908f60285054d7ecfb completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 3:12 p.m.