Triple

T8643055
Position Surface form Disambiguated ID Type / Status
Subject Aleksandar Mitrović E204701 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Teleoptik Zemun E148133 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: Teleoptik Zemun | Statement: [Aleksandar Mitrović, memberOfSportsTeam, Teleoptik Zemun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teleoptik Zemun
Context triple: [Aleksandar Mitrović, memberOfSportsTeam, Teleoptik Zemun]
  • A. Sava Centar
    Sava Centar is a major congress, cultural, and business events venue in Belgrade, known for hosting international conferences, concerts, and exhibitions.
  • B. Zvezdara
    Zvezdara is a residential and hilly municipality of Belgrade known for its large forested area and the Belgrade Observatory.
  • C. Dorćol
    Dorćol is a historic and culturally vibrant neighborhood in central Belgrade, known for its mix of Ottoman and Austro-Hungarian heritage, riverside location, and lively cafés and nightlife.
  • D. Zemun chosen
    Zemun is a historic urban municipality of Belgrade, Serbia, known for its preserved old town, Danube riverfront, and distinctive Central European architectural heritage.
  • E. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc479720f481908ee2b12c2775e76a completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc3b1f508190978df29d995f494c completed April 2, 2026, 6:58 p.m.
Created at: March 30, 2026, 6:28 p.m.