Triple

T13449609
Position Surface form Disambiguated ID Type / Status
Subject Peshkopi E320573 entity
Predicate hasNearbyMountain P651 FINISHED
Object Mount Korab E82907 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 Korab | Statement: [Peshkopi, hasNearbyMountain, Mount Korab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Korab
Context triple: [Peshkopi, hasNearbyMountain, Mount Korab]
  • A. Mount Korab chosen
    Mount Korab is a prominent peak in the Balkan Peninsula that straddles the border between Albania and North Macedonia and is renowned for its rugged alpine terrain and scenic hiking routes.
  • B. Mount Dajti
    Mount Dajti is a prominent mountain and national park overlooking Albania’s capital, Tirana, popular for hiking, nature excursions, and panoramic city views.
  • C. Mount Kerkis
    Mount Kerkis is the highest and most rugged mountain on the Greek island of Samos, known for its dramatic limestone peaks and rich biodiversity.
  • D. Musala
    Musala is the highest mountain peak in the Balkans, located in the Rila Mountain range of southwestern Bulgaria.
  • E. Avala Mountain
    Avala Mountain is a low, forested mountain near Belgrade in central Serbia, known for its scenic views, historical monuments, and popular hiking and picnic areas.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef973b08190a3d7fe1c2a913cff completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462340548190b156a8213f5e2556 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.