Triple

T16246920
Position Surface form Disambiguated ID Type / Status
Subject Bridge of Arta E394393 entity
Predicate near P350 FINISHED
Object Arta plain E1199626 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 plain | Statement: [Bridge of Arta, near, Arta plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arta plain
Context triple: [Bridge of Arta, near, Arta plain]
  • A. Arta plain chosen
    Arta plain is a fertile lowland region in western Greece known for its agriculture and surrounding mountainous landscape.
  • B. Giannitsa Plain
    Giannitsa Plain is a fertile agricultural lowland region in northern Greece, known historically for its extensive wetlands and role in regional farming.
  • C. Tirana plain
    The Tirana plain is a lowland area in central Albania that encompasses the capital city of Tirana and serves as an important agricultural and urban region.
  • D. Kilkis plain
    The Kilkis plain is a fertile lowland region in northern Greece known for its agricultural production and surrounding rolling hills.
  • E. Grevena plateau
    The Grevena plateau is a highland region in western Macedonia, Greece, characterized by its mountainous terrain, forests, and rural agricultural landscapes.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245931074819096f38003da70f271 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.