Triple

T22264578
Position Surface form Disambiguated ID Type / Status
Subject Pyrgos peak E550315 entity
Predicate mountainRange P648 FINISHED
Object Oeta NE NERFINISHED

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: Oeta | Statement: [Pyrgos peak, mountainRange, Oeta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeta
Context triple: [Pyrgos peak, mountainRange, Oeta]
  • A. Oeta Mountains chosen
    The Oeta Mountains are a rugged mountain range in central Greece known for their rich biodiversity, mythological associations with Heracles, and inclusion in a national park.
  • B. 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.
  • C. Mount Oligyrtos
    Mount Oligyrtos is a prominent mountain massif in the northeastern Peloponnese of Greece, known for its rugged terrain and natural beauty.
  • D. Ceraunus
    Ceraunus is an epithet meaning "the Thunderbolt," historically used to denote a powerful or striking ruler such as Seleucus III.
  • E. Pyrgos peak
    Pyrgos peak is the summit that forms the highest point of Mount Oeta in central Greece.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141ba5c9481909e24067133918ae2 completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.