Triple

T13307438
Position Surface form Disambiguated ID Type / Status
Subject Olympus E316971 entity
Predicate highestSummit P210 FINISHED
Object Mytikas E105785 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: Mytikas | Statement: [Olympus, highestSummit, Mytikas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mytikas
Context triple: [Olympus, highestSummit, Mytikas]
  • A. Mytikas chosen
    Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
  • B. Minkus
    Minkus is a surname most notably associated with Ludwig Minkus, the 19th-century composer renowned for his influential ballet music.
  • C. Toyapakeh
    Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
  • D. Mykelti
    Mykelti is the distinctive given name of American actor Mykelti Williamson, known for roles in films like "Forrest Gump" and various television series.
  • E. Totak
    Totak is a lake in Vinje municipality in Vestfold og Telemark county, Norway, known for its scenic mountain surroundings and role in local hydropower.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a8be108190bad0021f95ce3a93 completed April 11, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f2810a881908b1ed0cc4fb9ac12 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:29 p.m.