Triple

T1752732
Position Surface form Disambiguated ID Type / Status
Subject Pécs E38480 entity
Predicate twinCity P1072 FINISHED
Object Tuzla E155997 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: Tuzla | Statement: [Pécs, twinCity, Tuzla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuzla
Context triple: [Pécs, twinCity, Tuzla]
  • A. Tuzla chosen
    Tuzla is a major industrial and cultural city in northeastern Bosnia and Herzegovina, known for its salt lakes and long history of salt production.
  • B. Tuzla
    Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
  • C. Banja Luka
    Banja Luka is the second-largest city of Bosnia and Herzegovina and the administrative center of the Republika Srpska entity, known for its riverside setting, Austro-Hungarian architecture, and cultural life.
  • D. Sarajevo
    Sarajevo is the capital and largest city of Bosnia and Herzegovina, historically known as the site of Archduke Franz Ferdinand’s assassination that sparked World War I.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030371e88190982c822a460d3e47 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:31 p.m.