Triple

T7791543
Position Surface form Disambiguated ID Type / Status
Subject Tuzla E180190 entity
Predicate governedBy P46 FINISHED
Object Tuzla Municipality 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 Municipality | Statement: [Tuzla, governedBy, Tuzla Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tuzla Municipality
Context triple: [Tuzla, governedBy, Tuzla Municipality]
  • A. Tuzla
    Tuzla is a coastal district on the Asian side of Istanbul known for its shipyards, marinas, and seaside residential areas.
  • B. 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.
  • C. Bosnian-Podrinje Canton Goražde
    Bosnian-Podrinje Canton Goražde is a small, predominantly Bosniak-inhabited canton in southeastern Bosnia and Herzegovina, centered on the town of Goražde along the Drina River.
  • D. 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.
  • E. 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.
  • 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_69ca827d22208190b4dc5aa680edcf5d completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae9375dcc8190a6cb696c02aeceb7 completed March 30, 2026, 9:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb13b38e708190a688ce4effbf7c48 completed March 31, 2026, 12:22 a.m.
Created at: March 30, 2026, 4:30 p.m.