Triple

T4274113
Position Surface form Disambiguated ID Type / Status
Subject Southern Limestone Alps E97005 entity
Predicate highestPoint P210 FINISHED
Object Triglav E399790 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: Triglav | Statement: [Southern Limestone Alps, highestPoint, Triglav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Triglav
Context triple: [Southern Limestone Alps, highestPoint, Triglav]
  • A. Mount Triglav chosen
    Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
  • B. Grossglockner
    Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
  • C. Sněžka
    Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
  • D. Grosser Arber
    Grosser Arber is a prominent mountain in the Bavarian Forest on the German-Czech border, known for its hiking, skiing, and panoramic views.
  • E. Vršič Pass
    Vršič Pass is a high mountain pass in northwestern Slovenia that serves as a key road connection through the Julian Alps between the Sava and Soča river valleys.
  • 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_69b34544be3c819084d1ab82d29f90c5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3501abb74819086b2f04ac7a5c114 completed March 12, 2026, 11:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c71fc0bc8190922ae85d3bd23546 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:07 p.m.