Triple

T16908923
Position Surface form Disambiguated ID Type / Status
Subject Sanctuary of Isis at Dion E424641 entity
Predicate locatedIn P40 FINISHED
Object Pieria E113721 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: Pieria | Statement: [Sanctuary of Isis at Dion, locatedIn, Pieria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pieria
Context triple: [Sanctuary of Isis at Dion, locatedIn, Pieria]
  • A. Pieria chosen
    Pieria is a coastal regional unit in northern Greece known for its beaches along the Aegean Sea and the nearby Mount Olympus.
  • B. Bucasia
    Bucasia is a coastal suburb in Queensland, Australia, known for its long sandy beach and residential community within the Mackay Region.
  • C. Iasos
    Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
  • D. Peraea
    Peraea is a historical region east of the Jordan River that formed part of ancient Judea during the Second Temple period.
  • E. Myrina
    Myrina is a legendary Amazon queen in Greek mythology, famed for leading military campaigns and expanding Amazon influence across parts of Africa and Asia.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3ca3bdc3081908a9b4f6e63405348 completed April 18, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfd0ff2881908686678daab46664 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:30 a.m.