Triple

T7634139
Position Surface form Disambiguated ID Type / Status
Subject Ljubljana Railway Station E172830 entity
Predicate connectsCityTo P60933 FINISHED
Object Jesenice E537446 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: Jesenice | Statement: [Ljubljana Railway Station, connectsCityTo, Jesenice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jesenice
Context triple: [Ljubljana Railway Station, connectsCityTo, Jesenice]
  • A. Trebnje
    Trebnje is a small town in southeastern Slovenia known as a local cultural and administrative center in the historical region of Lower Carniola.
  • B. Radeče
    Radeče is a small town in central Slovenia, situated on the banks of the Sava River and known for its paper industry and scenic surroundings.
  • C. Klinovec
    Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
  • D. Grintovec
    Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
  • E. Jesenice, Slovenia chosen
    Jesenice, Slovenia is an industrial town in northwestern Slovenia near the Austrian border, historically known for its steel industry and as a center of Slovenian ice hockey.
  • 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_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:57 p.m.