Triple

T3927786
Position Surface form Disambiguated ID Type / Status
Subject Triglav National Park E93318 entity
Predicate highestPoint P210 FINISHED
Object Mount 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: Mount Triglav | Statement: [Triglav National Park, highestPoint, Mount Triglav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Triglav
Context triple: [Triglav National Park, highestPoint, Mount 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. 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.
  • D. Sokolica peak
    Sokolica peak is a famous limestone summit in Poland’s Pieniny Mountains, renowned for its dramatic cliffs above the Dunajec River Gorge and its iconic lone pine tree.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda4f9d481908dda1b5a826ab64d completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53ff373c081908e512ba2e65fc774 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:23 p.m.