Triple

T10675461
Position Surface form Disambiguated ID Type / Status
Subject Karpenisi E251604 entity
Predicate locatedInAdministrativeRegion P40 FINISHED
Object Evrytania E288746 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: Evrytania | Statement: [Karpenisi, locatedInAdministrativeRegion, Evrytania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evrytania
Context triple: [Karpenisi, locatedInAdministrativeRegion, Evrytania]
  • A. Evrytania chosen
    Evrytania is a mountainous regional unit in western Central Greece known for its rugged landscapes, forests, and traditional villages.
  • B. Evia
    Evia is the modern Greek name for Euboea, the second-largest Greek island, located off the eastern coast of mainland Greece.
  • C. Nea Trapezounta
    Nea Trapezounta is a village in the Pieria regional unit of Central Macedonia, Greece.
  • D. Argolid
    Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
  • E. Volissos
    Volissos is a traditional village on the Greek island of Chios, known for its medieval castle, stone houses, and scenic hillside setting overlooking the sea.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d98876222c8190be638bdfa3ce4ceb completed April 10, 2026, 11:32 p.m.
Created at: April 8, 2026, 9:09 p.m.