Triple

T4022092
Position Surface form Disambiguated ID Type / Status
Subject Vračar E91300 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Stari Grad E158260 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: Stari Grad | Statement: [Vračar, hasNeighboringMunicipality, Stari Grad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stari Grad
Context triple: [Vračar, hasNeighboringMunicipality, Stari Grad]
  • A. Stari Grad chosen
    Stari Grad is the historic central municipality of Belgrade, known for its old town architecture, cultural landmarks, and key administrative and commercial areas.
  • B. Stara Gradiška
    Stara Gradiška is a village in Croatia known historically as the site of a notorious World War II concentration camp operated by the Ustaše regime.
  • C. Gornji Grad
    Gornji Grad is the historic upper town of Zagreb, known for its medieval streets, landmarks like St. Mark’s Church and the Stone Gate, and its role as the city’s political and cultural center.
  • D. Donji Grad
    Donji Grad is the central, historic downtown district of Zagreb, known for its 19th-century architecture, cultural institutions, and major city squares.
  • E. Dravograd
    Dravograd is a small Slovenian town in the Carinthia region, known for its location at the confluence of the Drava and Meža rivers and its historical role as a regional center.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaccb2f48190a16a1ba6e938da85 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562922a8c8190b4090f734c11cebb completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:35 p.m.