Triple

T15609545
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate containsCity P294 FINISHED
Object Prokuplje E475622 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: Prokuplje | Statement: [Southern and Eastern Serbia region, containsCity, Prokuplje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prokuplje
Context triple: [Southern and Eastern Serbia region, containsCity, Prokuplje]
  • A. Prokuplje chosen
    Prokuplje is a town and municipality in southern Serbia known for its historical heritage and agricultural surroundings.
  • B. Prijedor
    Prijedor is a city in northwestern Bosnia and Herzegovina known for its industrial heritage and its significant role and tragic events during the Bosnian War.
  • C. Zrenjanin
    Zrenjanin is a city in northern Serbia known as an economic, cultural, and administrative center of the Banat region.
  • D. Vinkovci
    Vinkovci is a historic town in eastern Croatia, recognized as one of the oldest continuously inhabited settlements in Europe and a key urban center of the Slavonia region.
  • E. Dedinje
    Dedinje is an affluent residential neighborhood in Belgrade, Serbia, known for its villas, diplomatic residences, and prominent landmarks.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb7c2a6081908e957d39ec056062 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 4:13 a.m.