Triple

T15372844
Position Surface form Disambiguated ID Type / Status
Subject Võru County E367591 entity
Predicate containsNaturalFeature P1094 FINISHED
Object Suur Munamägi E1152509 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: Suur Munamägi | Statement: [Võru County, containsNaturalFeature, Suur Munamägi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suur Munamägi
Context triple: [Võru County, containsNaturalFeature, Suur Munamägi]
  • A. Suur Munamägi chosen
    Suur Munamägi is the highest natural point in Estonia, a hill in southeastern Estonia known for its observation tower and panoramic views of the surrounding landscape.
  • B. Teide
    Teide is a massive stratovolcano on Tenerife and one of Spain’s most prominent natural landmarks and tourist attractions.
  • C. Magas-hegy
    Magas-hegy is a prominent hill and popular hiking and skiing destination near Sátoraljaújhely in northeastern Hungary.
  • D. Mount Riga
    Mount Riga is a scenic, forested highland area in northwestern Connecticut known for its hiking trails, lakes, and historic iron industry sites.
  • E. Belukha Mountain
    Belukha Mountain is a prominent, glaciated peak in the Altai range of Siberia, renowned for its dramatic alpine scenery and significance in Russian mountaineering.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e5c1d548190930bfaf0861595ae completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13457418819088232270b092c969 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:18 a.m.