Triple

T18281886
Position Surface form Disambiguated ID Type / Status
Subject Мачва E437882 entity
Predicate containsSettlement P847 FINISHED
Object Богатић NE NERFINISHED

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: Богатић | Statement: [Мачва, containsSettlement, Богатић]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Богатић
Context triple: [Мачва, containsSettlement, Богатић]
  • A. Bogatēs
    Bogatēs was a Persian military commander known for leading Achaemenid forces during the siege of the Greek city of Eion in the early 5th century BCE.
  • B. Bogatić chosen
    Bogatić is a small Serbian town that serves as an important local center in the fertile Mačva region of western Serbia.
  • C. Bogatynia
    Bogatynia is a town in southwestern Poland near the Czech and German borders, known for its lignite mining and power industry.
  • D. Kupčina
    Kupčina is a river in central Croatia that serves as one of the tributaries of the Kupa River.
  • E. Reiche
    Reiche is a German surname most notably associated with Maria Reiche, the mathematician and archaeologist famed for her work on the Nazca Lines in Peru.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b914530c8190b4474d862a2b2a1b completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50056ea0481908d66bf263ac80c75 completed April 19, 2026, 4:18 p.m.
Created at: April 10, 2026, 10:35 a.m.