Triple

T2543896
Position Surface form Disambiguated ID Type / Status
Subject Mount Hymettus E57849 entity
Predicate hasPeak P8205 FINISHED
Object Evzonas E276358 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: Evzonas | Statement: [Mount Hymettus, hasPeak, Evzonas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evzonas
Context triple: [Mount Hymettus, hasPeak, Evzonas]
  • A. Evzonas chosen
    Evzonas is the summit that forms the highest peak of Mount Hymettus near Athens, Greece.
  • B. Zalavas
    Zalavas is a locality in present-day Lithuania historically known by its Polish name Zułów, notably associated with the early life of Józef Piłsudski.
  • C. Vinzelles
    Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
  • D. Tsakonia
    Tsakonia is a small mountainous region in the eastern Peloponnese of Greece known as the traditional homeland of the Tsakonian-speaking community, whose language descends from ancient Doric Greek.
  • E. Tarsos
    Tarsos is the ancient name of the historic city of Tarsus in Cilicia, a significant cultural and commercial center in the eastern Mediterranean world.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2c10ce88190b242ab3d41878fda completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af65573c30819080a8f0235e5dd8be completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:47 p.m.