Triple

T7634140
Position Surface form Disambiguated ID Type / Status
Subject Ljubljana Railway Station E172830 entity
Predicate connectsCityTo P60933 FINISHED
Object Nova Gorica E80815 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: Nova Gorica | Statement: [Ljubljana Railway Station, connectsCityTo, Nova Gorica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nova Gorica
Context triple: [Ljubljana Railway Station, connectsCityTo, Nova Gorica]
  • A. Nova Gorica chosen
    Nova Gorica is a Slovenian town on the border with Italy, known for its post-World War II development as a planned city and its close integration with the neighboring Italian town of Gorizia.
  • B. Velika Gorica
    Velika Gorica is a town in central Croatia, just south of Zagreb, known as part of the capital’s metropolitan area and an important regional transport hub.
  • C. Siscia
    Siscia was an important ancient Roman city and military center in the province of Pannonia, located at the site of modern-day Sisak in Croatia.
  • D. Domžale
    Domžale is a town in central Slovenia known as a suburban and industrial center near the capital, Ljubljana.
  • E. Ptuj
    Ptuj is one of Slovenia’s oldest towns, renowned for its well-preserved medieval architecture and rich cultural heritage along the Drava 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa72f2881908479049dd8d181a4 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac8fdfe88190a535bf050eff5abb completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:57 p.m.