Triple

T15684652
Position Surface form Disambiguated ID Type / Status
Subject Accursed Mountains E380165 entity
Predicate otherName P39 FINISHED
Object Prokletije E380166 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: Prokletije | Statement: [Accursed Mountains, otherName, Prokletije]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prokletije
Context triple: [Accursed Mountains, otherName, Prokletije]
  • A. Prokletije chosen
    Prokletije is a rugged mountain range in the western Balkans, known for its dramatic peaks, deep valleys, and remote, wild landscapes spanning parts of Montenegro, Albania, and Kosovo.
  • B. Paraćin
    Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
  • C. Vranje
    Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
  • D. Grbavica
    Grbavica is a neighborhood in Sarajevo, Bosnia and Herzegovina, known for its residential blocks and its association with local football culture.
  • E. Prijepolje
    Prijepolje is a town in southwestern Serbia near the border with Montenegro, known for its multicultural heritage and scenic location along the Lim River.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4b73d881908ec0f21393a01969 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee740e08190aa048b374ea7bfa0 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.