Triple

T6213855
Position Surface form Disambiguated ID Type / Status
Subject Cederberg Wilderness Area E138934 entity
Predicate highestPoint P210 FINISHED
Object Sneeuberg E567292 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: Sneeuberg | Statement: [Cederberg Wilderness Area, highestPoint, Sneeuberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sneeuberg
Context triple: [Cederberg Wilderness Area, highestPoint, Sneeuberg]
  • A. Sneeuberge chosen
    Sneeuberge is a mountain range in South Africa known for its high peaks, occasional snowfall, and rugged semi-arid landscapes.
  • B. Bride Peak
    Bride Peak is an alternate name for Chogolisa, a prominent and challenging mountain in the Karakoram range of Pakistan.
  • C. Gannett Peak
    Gannett Peak is the tallest mountain in Wyoming, located in the remote Wind River Range and known for its challenging alpine climbing and extensive glaciers.
  • D. Mytikas Peak
    Mytikas Peak is the highest summit of Mount Olympus in Greece and the country’s tallest mountain point.
  • E. Skil Brum
    Skil Brum is a high, remote mountain peak in the Karakoram range of the Himalayas, known primarily to mountaineers for its challenging climbing conditions and proximity to K2.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d1171788190aa302b54d14e9a5d completed March 27, 2026, 7:09 a.m.
Created at: March 22, 2026, 4:21 p.m.