Triple

T5944691
Position Surface form Disambiguated ID Type / Status
Subject Lebadea E132250 entity
Predicate near P350 FINISHED
Object Mount Helicon E106315 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 Helicon | Statement: [Lebadea, near, Mount Helicon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Helicon
Context triple: [Lebadea, near, Mount Helicon]
  • A. Mount Helicon chosen
    Mount Helicon is a mountain in Boeotia, Greece, famed in Greek mythology as a sacred place of poetic inspiration and the home of the Muses.
  • B. Mount Orestes
    Mount Orestes is a prominent peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region.
  • C. Mount Ainos
    Mount Ainos is the highest mountain on the Greek island of Kefalonia, noted for its dense fir forests and status as a national park.
  • D. Mount Cithaeron
    Mount Cithaeron is a mountain range in central Greece historically significant in Greek mythology and drama, often serving as a setting for legendary events and tragedies.
  • E. Mount Sipylus
    Mount Sipylus is an ancient mountain in western Turkey traditionally associated with Greek myth, especially the story of Niobe’s transformation into stone.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03937b4a88190819a1fd63fc3d3ed completed March 22, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c084fce481909c306d6eeb99066d completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.