Triple

T2908828
Position Surface form Disambiguated ID Type / Status
Subject Mount Vitsi E63632 entity
Predicate locatedNear P294 FINISHED
Object Florina E109166 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: Florina | Statement: [Mount Vitsi, locatedNear, Florina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florina
Context triple: [Mount Vitsi, locatedNear, Florina]
  • A. Florina chosen
    Florina is a town in northern Greece known for its mountainous landscape, cold winters, and role as a regional cultural and administrative center.
  • B. Arachova
    Arachova is a picturesque mountain town in central Greece, known for its traditional stone architecture, ski resort, and proximity to the ancient site of Delphi.
  • C. Karpenisi
    Karpenisi is a small mountainous town in central Greece known for its scenic landscapes, winter sports, and traditional Greek character.
  • D. Monastiraki
    Monastiraki is a historic neighborhood and popular flea market district in central Athens, Greece, known for its vibrant streets, shops, and views of the Acropolis.
  • E. 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.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d329c88190b6fcaef0be1799eb completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056173a988190be02619d909cdb25 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.