Triple

T14988580
Position Surface form Disambiguated ID Type / Status
Subject Svilajnac E373769 entity
Predicate hasOfficialName P66 FINISHED
Object Svilajnac E373769 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: Svilajnac | Statement: [Svilajnac, hasOfficialName, Svilajnac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svilajnac
Context triple: [Svilajnac, hasOfficialName, Svilajnac]
  • A. Svilajnac chosen
    Svilajnac is a small Serbian town in the Pomoravlje District, known for its location in the Morava River valley and its regional administrative and cultural role.
  • B. Šavnik
    Šavnik is a small mountainous town and municipality in northern Montenegro, known for its rugged landscape and proximity to the Durmitor region.
  • C. Vlasic
    Vlasic is a surname most prominently associated with Canadian professional ice hockey defenseman Marc-Édouard Vlasic of the NHL.
  • D. Orebić
    Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
  • E. Vranić
    Vranić is a village-level settlement that forms part of the Barajevo municipality near Belgrade, Serbia.
  • 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_69d85ccc84388190aa151e5173370c8d completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7148a308190a687f4d0d61397c6 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8c036bfc8190b01bf2128403f557 completed May 9, 2026, 1:21 a.m.
Created at: April 10, 2026, 2:53 a.m.