Triple

T8619556
Position Surface form Disambiguated ID Type / Status
Subject Nišava River E204128 entity
Predicate flowsThrough P225 FINISHED
Object Pirot E620284 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: Pirot | Statement: [Nišava River, flowsThrough, Pirot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pirot
Context triple: [Nišava River, flowsThrough, Pirot]
  • A. Pirot chosen
    Pirot is a town in southeastern Serbia known for its traditional woven carpets (Pirot kilims), historic fortress, and proximity to the Stara Planina (Balkan) mountain range.
  • B. Pljevlja
    Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
  • C. Prilep
    Prilep is a historic city in present-day North Macedonia known for its medieval fortresses, Ottoman-era architecture, and role as a regional cultural and economic center.
  • D. Mladenovac
    Mladenovac is a suburban municipality and town located in the southern part of the City of Belgrade, Serbia.
  • E. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • 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_69ca832ceab8819096e4a9f546695079 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc471458f48190a6d8858f8074727d completed March 31, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbd49cc8819093555edf5ff0acaa completed April 2, 2026, 6:56 p.m.
Created at: March 30, 2026, 6:26 p.m.