Triple

T22682480
Position Surface form Disambiguated ID Type / Status
Subject Kneza Miloša Street (part) E560817 entity
Predicate locatedInAdministrativeEntity P40 FINISHED
Object Savski Venac 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: Savski Venac | Statement: [Kneza Miloša Street (part), locatedInAdministrativeEntity, Savski Venac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Savski Venac
Context triple: [Kneza Miloša Street (part), locatedInAdministrativeEntity, Savski Venac]
  • A. Savski Venac chosen
    Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
  • B. Vrbnik
    Vrbnik is a historic coastal town on the Croatian island of Krk, known for its clifftop old town, narrow streets, and production of the Žlahtina white wine.
  • C. Vrbanja
    Vrbanja is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
  • D. Sava Dolinka
    Sava Dolinka is a river in northwestern Slovenia that forms one of the two headwaters of the Sava, the longest river in the country.
  • E. Brvenica
    Brvenica is a village and municipality in northwestern North Macedonia, situated in the Polog region near the city of Tetovo.
  • 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.