Triple

T4875608
Position Surface form Disambiguated ID Type / Status
Subject Šabac District E109195 entity
Predicate hasPart P35 FINISHED
Object City of Šabac E108876 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: City of Šabac | Statement: [Šabac District, hasPart, City of Šabac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Šabac
Context triple: [Šabac District, hasPart, City of Šabac]
  • A. Šabac chosen
    Šabac is a historic city in western Serbia on the Sava River, known as a regional cultural and educational center.
  • B. City of Niš
    The City of Niš is a major urban center in southeastern Serbia, historically significant as one of the oldest cities in the Balkans and a key crossroads between Central Europe and the Near East.
  • C. Novi Pazar
    Novi Pazar is a historic city in southwestern Serbia known for its Ottoman-era architecture, multicultural heritage, and proximity to important medieval Serbian monasteries.
  • D. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • E. 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.
  • 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dba3efc8190adcf8b30490b4984 completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c41d21c81908cfbe658c65cca6f completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:27 p.m.