Triple

T3435317
Position Surface form Disambiguated ID Type / Status
Subject Locris E72437 entity
Predicate hasPart P35 FINISHED
Object Ozolian Locris E72437 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: Ozolian Locris | Statement: [Locris, hasPart, Ozolian Locris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ozolian Locris
Context triple: [Locris, hasPart, Ozolian Locris]
  • A. Locris chosen
    Locris was an ancient Greek region in central Greece, inhabited by the Locrians and known for its strategic position between Boeotia and Phocis.
  • B. Phocis
    Phocis was an ancient region in central Greece, notable for encompassing the sacred sanctuary and oracle of Delphi.
  • C. Aetolia
    Aetolia is a historical region in western Greece known from ancient times for its rugged terrain and role in Greek history and mythology.
  • D. Lakonia
    Lakonia is a region in the southeastern part of the Peloponnese in Greece, historically known as the homeland of ancient Sparta.
  • E. Thessaly
    Thessaly is a historical and geographical region in central Greece known for its fertile plains, ancient cities, and proximity to landmarks like Mount Olympus and Meteora.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c3300881909f5c3544f8923b41 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547fd15481909c310b731231d5bb completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:16 p.m.