Triple

T15147564
Position Surface form Disambiguated ID Type / Status
Subject Larissa prefecture E361852 entity
Predicate hasMountain P10602 FINISHED
Object Mount Olympus E19140 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 Olympus | Statement: [Larissa prefecture, hasMountain, Mount Olympus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Olympus
Context triple: [Larissa prefecture, hasMountain, Mount Olympus]
  • A. Mount Olympus
    Mount Olympus is the highest and most prominent peak in Washington State’s Olympic Mountains, known for its extensive glaciation and rugged wilderness.
  • B. Mount Olympus chosen
    Mount Olympus is a famous mountain in northern Greece renowned in Greek mythology as the home of the Olympian gods and goddesses.
  • C. Mount Parnassus
    Mount Parnassus is a limestone mountain in central Greece famed in Greek mythology as a sacred home of Apollo and the Muses and a symbol of poetry and the arts.
  • D. Mount Taygetus
    Mount Taygetus is a prominent mountain range in the Peloponnese region of southern Greece, known for its rugged peaks, rich mythology, and historical significance in ancient Sparta.
  • E. Mount Orestes
    Mount Orestes is a prominent peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c825a481909d00098b0e743365 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febfe3fe0081909d9d3a293373254b completed May 9, 2026, 5:02 a.m.
Created at: April 10, 2026, 3:07 a.m.