Triple

T2680449
Position Surface form Disambiguated ID Type / Status
Subject Central Greece E56559 entity
Predicate containsCity P294 FINISHED
Object Karpenisi E251604 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: Karpenisi | Statement: [Central Greece, containsCity, Karpenisi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karpenisi
Context triple: [Central Greece, containsCity, Karpenisi]
  • A. Karpenisi chosen
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • B. Amfissa
    Amfissa is a historic town in central Greece, near Delphi, known for its ancient roots, traditional architecture, and olive cultivation in the surrounding Crisaean plain.
  • C. Tzoumerka
    Tzoumerka is a mountainous region in the Epirus area of northwestern Greece, known for its rugged peaks, traditional stone villages, and scenic gorges.
  • D. Giannitsa
    Giannitsa is a town in northern Greece that serves as an important agricultural and commercial center in the region of Central Macedonia.
  • E. Karyes
    Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9d36ea8819094ada73d86ffaa8b completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afa06a3eb48190891326891222766d completed March 10, 2026, 4:39 a.m.
Created at: March 6, 2026, 9:54 p.m.