Triple

T16347152
Position Surface form Disambiguated ID Type / Status
Subject Filippiada E396962 entity
Predicate near P350 FINISHED
Object Arta E116216 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: Arta | Statement: [Filippiada, near, Arta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arta
Context triple: [Filippiada, near, Arta]
  • A. Arta chosen
    Arta is a historic city in northwestern Greece, known for its medieval stone bridge over the Arachthos River and its Byzantine monuments.
  • 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. Arta Region
    Arta Region is an administrative region in southeastern Djibouti known for its coastal location along the Gulf of Tadjoura and its proximity to the capital, Djibouti City.
  • D. Grevena
    Grevena is a small city in northern Greece known for its mountainous surroundings, rich natural landscapes, and production of mushrooms and dairy products.
  • E. Litochoro
    Litochoro is a Greek town situated at the foot of Mount Olympus, known as a popular base for hiking and exploring the surrounding national park.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0035587c3481908448f75e5a56d2cb completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:07 a.m.