Triple

T20976272
Position Surface form Disambiguated ID Type / Status
Subject Hadžići E516633 entity
Predicate hasOfficialName P66 FINISHED
Object Hadžići 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: Hadžići | Statement: [Hadžići, hasOfficialName, Hadžići]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadžići
Context triple: [Hadžići, hasOfficialName, Hadžići]
  • A. Hadžići chosen
    Hadžići is a town and municipality in central Bosnia and Herzegovina, located southwest of Sarajevo.
  • B. Baošići
    Baošići is a coastal village in Montenegro situated along the scenic Bay of Kotor, known for its beaches and seaside tourism.
  • C. Zavidovići
    Zavidovići is a town and municipality in central Bosnia and Herzegovina known historically for its wood industry and location at the confluence of the Bosna, Krivaja, and Gostović rivers.
  • D. Moračani
    Moračani are a historical Montenegrin highland tribe traditionally inhabiting the Morača river valley region in central Montenegro.
  • E. Rošnjak
    Rošnjak is a small, secluded waterfall located within Croatia’s Krka National Park, known for its tranquil setting and natural beauty.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba3df2081908c1db5f8610ba43d completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.