Triple

T4634829
Position Surface form Disambiguated ID Type / Status
Subject Bovec E101503 entity
Predicate partOfHistoricalRegion P13711 FINISHED
Object Goriška E381895 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: Goriška | Statement: [Bovec, partOfHistoricalRegion, Goriška]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goriška
Context triple: [Bovec, partOfHistoricalRegion, Goriška]
  • A. Upper Carniola
    Upper Carniola is a mountainous traditional region in northwestern Slovenia, known for its Alpine landscapes, ski resorts, and proximity to the Julian Alps.
  • B. Southeastern Slovenia
    Southeastern Slovenia is a statistical and historical region of Slovenia known for its rolling hills, vineyards, and the regional center Novo Mesto.
  • C. Sevnica
    Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
  • D. Goriška statistical region chosen
    The Goriška statistical region is an administrative and statistical area in western Slovenia, bordering Italy and centered around the city of Nova Gorica.
  • E. Gospić
    Gospić is a town in the Lika region of Croatia, known as the administrative center of Lika-Senj County and for its association with the birthplace of inventor Nikola Tesla in nearby Smiljan.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5ec8108190aeb1147a67bff057 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69be0368d2748190bc8560ecb16e1997 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:13 p.m.